Snowflake jobs

...Advisory: Provide recommendations on technology stacks, licensing terms, vendor selection, and system maintenance. Required Qualifications Education & Experience: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or equivalent relevant industry experience. Database Architecture Expertise: Proven track record with databases such as PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, or Redshift. Big Data Sourcing Experience: Demonstrated experience in evaluating, procuring, and integrating external commercial or public datasets. Data Engineering Skills: Hands-on experience with Python, SQL, ETL tools, and data pipeline frameworks. Vendor & Contract Awareness: Basic understanding of data licensing agreements, API integrations...

...IN HOKKAIDO Brand direction We want the identity to feel: Premium · Technical · Minimal · Modern · Hokkaido We favour a strong typography-led wordmark, with NISEKO dominant and BASEWEAR secondary. A subtle custom element—perhaps involving the N—could work well, but we're open to the designer's ideas. The logo should look credible on premium technical ski clothing. Please avoid generic mountain/snowflake/ski logos, faux-Japanese styling, rustic outdoor branding and anything that feels like Niseko souvenir merchandise. Mount Yotei is important to our wider visual identity and photography, but does not necessarily need to appear in the logo. Where the identity will be used The designer needs to consider the logo as a real clothing br...

...DATA STACK (MDS) DATA ENGINEERING PIPELINE Technology Stack: AWS RDS (MySQL) → Fivetran → Snowflake → Power BI PROJECT OVERVIEW Designed and implemented an end-to-end cloud data engineering pipeline to ingest, transform, model, and visualize e-commerce data using modern data stack technologies. Built a production-style ELT pipeline where transactional data is stored in MySQL hosted on AWS RDS and automatically ingested into Snowflake using Fivetran with incremental CDC-based synchronization. DATA ARCHITECTURE AWS RDS MySQL ↓ Fivetran – Incremental CDC Ingestion ↓ Snowflake RAW Layer ↓ Streams + Tasks + SQL Transformations ↓ Snowflake STAGING Layer ↓ Star Schema / Dimensional Modeling ↓ Snowflake ...

...pipelines capable of ingesting and transforming massive volumes of structured and unstructured financial data. Big Data Processing: Utilize PySpark, Apache Spark, and AWS EMR to process billions of records efficiently, ensuring low latency and high reliability. Cloud Architecture: Architect and optimize solutions within FINRA’s AWS data lake and data warehousing environment (S3, Athena, Glue, Snowflake, Presto/Trino). Data Quality & Governance: Implement rigorous data quality checks, validation frameworks, and observability pipelines to ensure data lineage, consistency, and strict regulatory compliance. Collaboration: Partner cross-functionally with data scientists, economists, software engineers, and regulatory stakeholders to translate complex business requirements in...

...pipelines capable of ingesting and transforming massive volumes of structured and unstructured financial data. Big Data Processing: Utilize PySpark, Apache Spark, and AWS EMR to process billions of records efficiently, ensuring low latency and high reliability. Cloud Architecture: Architect and optimize solutions within FINRA’s AWS data lake and data warehousing environment (S3, Athena, Glue, Snowflake, Presto/Trino). Data Quality & Governance: Implement rigorous data quality checks, validation frameworks, and observability pipelines to ensure data lineage, consistency, and strict regulatory compliance. Collaboration: Partner cross-functionally with data scientists, economists, software engineers, and regulatory stakeholders to translate complex business requirements in...

A scheduled snapshot for May 2025 never ran, so the dataset for that period is blank. The files that feed the snapshot are still available in our cloud storage, and the warehouse we query from is Snowflake. I need someone to: • rebuild the missing May 2025 partition in the existing snapshot table, • follow the same logic and column order used by the other monthly snapshots, • run basic row-count and checksum comparisons against source files to confirm accuracy, and • provide the SQL (or Snowflake tasks/procedures) you use so I can re-run it later if needed. Everything else about the pipeline is unchanged; only this one month is missing. Please let me know how quickly you can turn it around and what access you’ll need.

...doing so almost exclusively on Snowflake. You will guide a full modernization programme for a US-based pharmaceutical client, so direct pharma exposure is essential. Your mission is to assess the current on-prem and cloud data estate, then craft a future-proof architecture built around Snowflake while seamlessly integrating Databricks for advanced processing and Dataiku for governed data science. Every recommendation must be defensible at deep technical level, as I will put you in front of executives and engineering leads to explain the why as much as the what. I value credentials: SnowPro Advanced Architect is non-negotiable, and familiarity with SnowConvert AI will let us accelerate legacy migrations. You should already have led at least two end-to-end Snowflake...

...complete all interviews Relevant technologies may include: DevOps/Cloud/SRE: AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, Linux, monitoring, infrastructure automation and DevSecOps. AI/ML: Python, PyTorch, TensorFlow, scikit-learn, generative AI, LLMs, NLP, computer vision, MLOps, model deployment and cloud ML platforms. Data Engineering: Python, SQL, Spark, Databricks, Snowflake, BigQuery, Redshift, Airflow, Kafka, ETL/ELT, data lakes and data warehouses. How to Apply: Send a direct message containing: • Your résumé • LinkedIn profile • Primary technical area • Years of relevant experience • Current availability • A short pre-interview video introducing yourself, describing your technical background ...

...together. The stack I need to master is SQL, dbt, Snowflake, and Fivetran. A typical session might start with designing a dimensional model, move into building that model in Snowflake, automate the ELT with Fivetran, and finish by transforming the data with dbt—all committed to Git so best practices stick from day one. I learn fastest by doing, so please be ready to: • Walk through short, focused explanations, then immediately switch to screen-sharing or live coding. • Provide mini projects or exercises that I can extend between sessions. • Review my work, highlight mistakes, and suggest improvements so I build good habits early. By the end of our engagement I should have: • At least one end-to-end pipeline in my own Snowfl...

...time, and building high-velocity solutions. This is **not just a social-media posting position**. The objective is to create conversations with companies that can become customers. We need someone who can: * Find and target CTOs, CIOs, Data Engineering leaders, Data Architects, FinOps leaders, and technology executives. * Build prospect lists and identify companies likely suffering from high Snowflake/data-platform costs or inefficient technology delivery. * Conduct LinkedIn and email outreach. * Create campaigns, posts, messaging, and lead-generation strategies. * Find relevant technology communities, groups, partnerships, and channels where we can introduce the products. * Develop creative ways to get Query Compare in front of enterprise data teams. * Generate qualified meet...

# Enterprise Data Warehouse / BI Consultants — Business Development + Consulting Opportunity We are looking for senior **Data Architects, Data Scientists, Snowflake specialists, and Power BI, Tableau and Looker experts** with established relationships inside large enterprise organizations. We have developed an enterprise warehouse optimization platform currently being used within a **$330B company**. The platform analyzes warehouse workloads at scale to identify expensive and inefficient query patterns, with particular emphasis on identifying, curating and remediating bloated queries that unnecessarily increase compute and warehouse costs. ## Who We're Looking For We are NOT looking for traditional cold-call salespeople. We are looking for experienced enterprise tec...

Hi, I am looking for an experienced Senior Data Engineer / Data Engineering Architect to design and implement a complete end-to-end, production-style data engineering...Orchestration → Analytics → Monitoring → Deployment I also want the freelancer to explain the architecture and technologies clearly throughout the project so that I can understand why each technology is being used, what problem it solves, and how the components integrate with each other. Technical Stack: Python, SQL, Apache Kafka, Spark/PySpark, Databricks, Delta Lake, Airflow, AWS or Azure, Snowflake, dbt, Hive, REST APIs, ETL/ELT, batch and real-time/streaming data pipelines, data lakes/lakehouses, data warehousing, dimensional data modeling, data quality, CI/CD, Git/GitHub, Docker, monitoring, and...

...Experience • 5x Snowflake Certified Results-driven Lead Data Engineer with 4.5+ years designing end-to-end cloud data platforms on Snowflake, dbt, and Apache Airflow. Proven record of automating client workflows, building self-serve Streamlit apps, scaling dbt pipelines to 600+ clients, and improving query performance by up to 95%. Expert in RBAC, data governance, CI/CD, and Snowpark-driven transformations across AWS and Azure. CORE TECHNICAL SKILLS Cloud /Dataplatforms Snowflake, dbt (Core, Cloud), SnowSQL, Snowpark, Databricks (Lakehouse), AWS, Azure ETL / Orchestration Programming BI & Applications Apache Airflow, Fivetran, Prefect, Snowpipe, Streams & Tasks Python, SQL, PySpark, Stored Procedures, UDFs, Snowpark Python, Pandas, NumPy ...

...up the SQL that powers several Sigma dashboards connected to Snowflake. The top priority is writing and optimising queries whose main job is to enforce data consistency—catching mismatches, duplicate keys, or any other integrity issues before numbers hit the dashboards. Once the underlying SQL is solid, I’ll ask you to fold those updates back into the existing Sigma workbooks and, where it makes sense, design a few new visualisations or tweak current ones so users can immediately see when something drifts out of spec. Troubleshooting edge-case data issues and proposing small performance improvements along the way are very welcome. Deliverables • Clean, well-documented SQL scripts that validate data consistency in Snowflake • Updated Sigma da...

...frameworks. • Improve marketing attribution, conversion tracking and campaign measurement. • Translate business requirements into technical requirements and actionable user stories. • Lead initiatives from discovery → implementation → measurement → optimization. Technology Exposure • CRM: Braze, Salesforce Marketing Cloud, Iterable, CleverTap, MoEngage • CDP: mParticle, Segment • Data: Azure, Snowflake, BigQuery, Redshift • Analytics: GA4, Amplitude, Looker, Power BI • Activation: Census / Reverse ETL • Tracking: Google Tag Manager, UTM & event tracking • Channels: Email, SMS, Push, WhatsApp What We’re Looking For • 6+ years in CRM, Lifecycle Marketing, Marketing Automation or MarTech. • Hands-...

I have several datasets stored in Snowflake that need to be surfaced through polished, insightful Power BI assets. I’m looking for someone with truly advanced Power BI skills who can: • Shape and model the data efficiently once it is pulled from Snowflake • Build clean, reusable measures and calculations • Turn those models into interactive reports that tell a clear story • Wrap everything into executive-ready dashboards with thoughtful layouts and drill-throughs Only a basic grasp of Snowflake is necessary—you’ll mainly be connecting, importing, and refreshing tables, not administering the warehouse itself. I have the Snowflake credentials ready and can handle any permission work on my side. Please share a brief no...

...multiple systems or static spreadsheets. The build must support: • Real-time data analysis so new encounters, labs, and vitals are visible in minutes, not days. • Customizable reporting templates our analysts can adjust without developer help. • Data visualization tools that present trends clearly for non-technical decision-makers. I’m open to the platform you recommend—whether that’s Snowflake, SQL Server, BigQuery, Redshift, or a comparable HIPAA-compliant stack—as long as you outline why it fits our scale and security needs. Please plan for typical healthcare data standards (HL7 v2, FHIR, or CCD) and include an ETL/ELT pipeline that cleans, normalizes, and de-identifies data where required for compliance. Deliverables expected: ...

...the rugged, minimal beauty of Icelandic landscapes but with a playful, whimsical twist. I need a talented 2D artist to craft a full set of in-game assets where strong, memorable shapes take center stage; color harmonies can be finalised together once the silhouettes feel right. Deliverables • 5 themed block sets • 12 interactive buttons • 5 unique moon variations • 3 rain icons • 3 snowflake icons • 3 leaf icons • 3 cloud icons • 5 floor or platform designs Everything should read clearly at puzzle-game scale, so bold silhouettes, clean lines, and smart negative space are essential. Texture can stay subtle; the charm should come from the forms themselves. Finished files in layered PSD or vector (AI/SVG) are perfect—...

...processes to move data from various legacy systems to Azure data platforms. • Design and develop data orchestration workflows using Azure Data Factory (ADF). • Build data transformation and consolidation pipelines using Azure Databricks. • Use Azure Data Factory or Data Bricks orchestration tools to automate and schedule data pipelines/Job workflows • Design efficient data models (e.g., star or snowflake schema) for use in analytical applications and reporting systems. • Contribute to solution design discussions, code reviews, and implementation of migration best practices. • Continuously monitor the health of pipelines, jobs and infrastructure, ensuring they are running efficiently and securely • Address and resolve data issues, inc...

...experienced Data Engineer to join a remote technical project supporting an international client. * It is an open contract and you get paid monthly. ### Requirements • 2–4 years of professional Data Engineering experience • Strong Python and SQL skills • Hands-on experience with Apache Spark • Experience with Airflow, Dagster, or Prefect • Experience with dbt and modern data pipelines • Knowledge of Snowflake, BigQuery, Redshift, or Databricks • Experience with AWS, Azure, or GCP • Strong understanding of data modeling and Git workflows • Experience working with production data pipelines • Strong spoken and written English communication skills ### Nice to Have • Kafka, Kinesis, or Flink • Terraform and CI/CD &b...

...consulting assignments independently. Key Skills • Cloud Platforms: Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Fabric • Databases: SQL Server, Azure SQL Database, PostgreSQL • Programming: T-SQL, DAX, Python (basic for data analysis) • BI Tools: Power BI (DAX, Power Query), SSRS, SSIS, SSAS • Data Orchestration Modeling: Dagster, dbt (data build tool) • Data Modeling: Star/Snowflake schema, Tabular Model • Visualization: Dashboards, KPIs, Drill-down reports • Others: Git, Agile methodology, DevOps pipelines for BI deployment Professional Experience Senior Azure Data Engineer | Leading IT services company (06/2022 – Present) Responsibilities • Developed end-to-end ETL pipelines. • Integrated data from...

...can drop straight into an AWS SageMaker environment. Key focus areas • Model lifecycle: automate versioning, lineage, and rollback using GitLab CI/CD and Prefect orchestration. • Quality & evaluation: set up repeatable LLM evaluation suites, RAG benchmarks, and human-in-the-loop (HITL) review loops so we know precisely how each release performs. • Data layer: tighten integration between Snowflake and SageMaker feature stores while enforcing governance and observability best practices. • Runtime reliability: implement comprehensive monitoring (latency, cost, drift) and alerting, surfacing metrics via built-in SageMaker tools or open-source alternatives. I am comfortable iterating in weekly milestones; each milestone should ship demonstrable valu...

I’m looking for who can turn my rough notes into a clear, developer-ready Source-to-Target Mapping (STTM) guide that ties together our SQL...table detailed with column names, data types and primary keys. • Field mappings – one-to-one and one-to-many relationships spelled out, including any renamed or derived columns. • Transformation rules – step-by-step logic exactly as it appears in the SQL, with additional explanation where Power BI performs further calculations or measures. Our data warehouse sits in oracle, so please weave Snowflake-specific syntax or nuances into the narrative whenever it matters. The end product should let a new engineer open the document, understand the lineage from raw tables through to the published Power BI dataset, and ...

...four blocks of racking shelving • Room 13 contains a RESTROOM block with two fixtures, plus locker runs • Room 10 shows lab benches, microscope, and testing equipment • Room 11 is subdivided into four labeled sub-spaces: RECEPTION (desk, plant), CONFERENCE ROOM (table with chairs), SNACK ROOM, and a second RESTROOM • Room 9 shows conveyor/hopper equipment • Room 8 shows six racking blocks and a snowflake symbol ________________________________________ Entrances and Exterior Access • RAW FISH RECEIVING — west/left side, with a truck graphic and TRUCK SCALE noted below it • EMPLOYEE / VISITOR PARKING — far left, with a parking lot graphic • EMPLOYEE ENTRANCE — bottom center, green arrow pointing up into room 13 • PUBLIC...

The flame should be a 3D metallic gold version, matching the logo,with a snowflake emerging from behind it and subtly melting as it passes. Then, transition seamlessly into the 2D logo style and reveal the text.

...collecting data from different sources, cleaning and transforming it, and storing it in a database or data warehouse. You may also work with APIs, cloud services, ETL workflows, and large datasets. The ideal candidate should have strong experience with Python, SQL, data modeling, and ETL/ELT pipelines. Experience with AWS, GCP, or Azure is preferred. Knowledge of tools such as Airflow, Spark, Kafka, Snowflake, BigQuery, or Databricks would be a plus. Please include the following in your proposal: A short introduction about your Data Engineering experience Examples of similar projects you have completed The technologies and cloud platforms you have used Your availability and expected rate A short video introduction to help me evaluate your communication skills and overall fit ...

...clearly through Freelancer.com Required experience: • Strong professional experience in data engineering • Advanced Python and SQL skills • Experience with ETL and ELT pipeline development • Experience with relational databases and data warehouses • Experience with at least one cloud platform, preferably AWS, Azure, or Google Cloud • Experience with tools such as Airflow, dbt, Spark, Kafka, Snowflake, or Databricks • Strong understanding of data modeling, data quality, and pipeline monitoring • Ability to work independently and deliver production-quality work Initial scope: 1. Review the current data sources and architecture. 2. Recommend an appropriate technical approach. 3. Build or improve the required data pipelines. 4. Add validati...

...existing flat logo and create a complete brand identity. I already have: Existing logo (SVG) AI-generated concepts Reference images Clear design direction I'll attach my current logo and the styles I like. What I need Keep the logo flat, clean and modern. The font is already quite close to what I want, so only small improvements are needed (spacing, proportions, stroke consistency, etc.). The snowflake/icon is the main focus. I'd like to see improvements to the current icon or completely new ideas that fit the same Scandinavian minimalist style. Feel free to suggest creative concepts while keeping the logo simple, timeless and easy to recognize. Deliverables Logo (horizontal, vertical, icon only) Brand colors Typography recommendations Social media kit Website asset...

I need an experienced Snowflake professional to own the end-to-end data integration of several AWS and Azure sources into my Snowflake environment. Your first objective is to design and build reliable, automated pipelines—using Snowpipe, Streams & Tasks, or any proven approach—that land raw data in a staging area and promote it through to curated models without manual intervention. Beyond the load process, I also want the warehouse running at peak efficiency. That means: • tightening query performance, • setting up the right clustering or indexing strategies, and • fine-tuning resource management so we only pay for what we truly use. Because my in-house team will maintain the solution, I’d like you to spend dedicated time as a train...

...Support MLOps infrastructure to operationalize, monitor, and scale models built by data science teams. Key Responsibilities Pipeline & Feature Engineering: Design, automate, and scale robust data pipelines for AI/ML workloads. Build and manage feature stores to support model training and inference. Data Integration: Ingest and transform structured and unstructured data sources using AWS Glue, Snowflake, and Informatica Data Management Cloud (IDMC). MLOps & Automation: Implement DevOps/MLOps practices and CI/CD pipelines (via GitHub Actions). Monitor pipeline performance, troubleshoot production issues, and mitigate model drift. Governance-by-Design: Implement strict data quality checks, metadata tagging, and end-to-end lineage tracking in compliance with enterpri...

--- Job Title: Senior Data Engineer – Data Masking | SQL Server | Snowflake | Databricks Location: Remote (India) Client: AIGREV (US Client) Employment Type: 6-Month Contract Job Summary We are seeking a highly skilled Senior Data Engineer to support a US-based client (AIGREV) on a 6-month remote contract. The primary focus of this role is implementing enterprise data masking solutions as part of Data Migration and ETL execution across Enterprise Data Hub (EDH) environments. Candidates must have prior hands-on experience designing and implementing data masking during large-scale data migration and ETL/ELT projects. Experience in SQL Server Dynamic Data Masking (DDM), Azure Data Factory (ADF), Snowflake, and Databricks is essential. The role requires collaboration ...

...your time and mine. I am fully capable of building this website myself if I need to. In your bid, you must state exactly what you will deliver for your quoted cost. Target Sectors: Mining, quarries, local councils, utilities, ports, environmental monitoring, agriculture, infrastructure owners, and energy : Enterprise, clinical, secure, and highly technical (think Amazon AWS or Snowflake). No generic stock photos of drones or smiling people in hardhats. Scope of Work (What You Need to Do)Platform & Build: Build out the website on our existing WordPress install using a lightweight builder (Elementor Pro or native Gutenberg blocks). Implement Provided Brief: Apply the exact structural layouts, copy, and visual asset directions (vector wireframes, point-cloud graphics) ...

...that links my AWS stack to Snowflake and dbt. Here’s the situation • Source data sits in Amazon RDS and a few application buckets. • Raw files will land in S3, then flow through Glue jobs (Python) or DMS for change-data-capture. • Snowpipe and dbt models will take over inside Snowflake, with Airflow orchestrating everything. What I need from you I want the entire pipeline configured, secured, and proven end-to-end. That means creating the right IAM roles and policies, wiring up Glue/DMS to S3, setting up Snowpipe auto-ingest, and making sure dbt models execute under Airflow without manual intervention. Your experience with CDC, role-based access controls, and cost-efficient storage tiers will be critical. Key deliverables • Working ...

I’m expanding our Snowflake environment and want an experienced engineer to help wire new data sources into the platform, document the flow, and keep performance tight as volumes grow. The core focus is data integration: designing and building clean, repeatable ELT pipelines that land data in the right layers, set up stages, streams, tasks, and automate loads with Snowpipe or similar tooling. Alongside that, I need hands-on improvements to the most demanding queries—specifically boosting execution speed and making sure they stay fast when we’re scanning very large datasets. You’ll work directly in my dev account (role-based access) and push code to our Git repository. At the end I expect: • Working, production-ready ELT jobs with clear comments &bul...

I’m ready to launch a private, role-based community portal and need an experienced developer to build the first four modules, all sitting behind a unified access-control layer. I have no firm preference on stack, so feel free to use Snowflake, AWS, or a mix—provided the solution is secure, scalable, and keeps user-access management (UAM) clean and auditable. Core modules for this initial phase • Discussion Chat – must include user tagging, file sharing, and threaded replies. • Collaborative Document Library – real-time editing, robust version control, and inline commenting are required. • Event Calendar – visual monthly/weekly views with RSVP tracking. • Event Listing – searchable, filterable directory of upcoming and ...

...AWS-hosted solution; if you see clear advantages in also wiring things to Snowflake later, keep that in mind, but the immediate goal is a clean AWS deployment. I’m not familiar with services like EC2, Lambda, or Elastic Beanstalk, so you’ll need to select and configure the option that best fits small-to-medium Streamlit workloads, automate the build and release steps, and make sure basic scaling and logging are in place. A concise hand-off package—source code, infrastructure files, and a README that walks me through redeploying or extending the setup—will let me maintain everything once the project is complete. May need help to create Snowflake account. Open to recommendation on the edition. Cost for setup and charges by Snowflake will be c...

Freelance Analytics Engineer (Snowflake / Data Integration) We’re looking for a freelance Analytics Engineer / Data Consultant to help unify data from multiple systems into a single source of truth. Our stack JobWatch (core operations, Snowflake partner) Xero (finance) Odoo (ERP / CRM) Asset Panda (assets) Task Set up / optimise Snowflake as central warehouse Connect systems via ETL/ELT pipelines (Fivetran, Airbyte, APIs) Build a clean data model (jobs, customers, revenue, costs) Deliver initial insights (e.g. job profitability dashboard) Ideal Requirements Strong Snowflake + SQL Experience integrating SaaS tools Familiar with modern data stack (ELT, dbt a plus) Commercial / business mindset Details Freelance / project-based Remote Potential for ongoi...

...or generative AI is a plus 4. Data Engineer - Build and maintain robust data pipelines and ETL processes - Design and manage data warehouses and data lakes - Work with large-scale distributed systems such as Apache Spark, Kafka, or Airflow - Collaborate with data scientists and analysts to support data needs - Experience with SQL, NoSQL databases, and cloud data services (BigQuery, Redshift, Snowflake) All candidates should have strong communication skills, the ability to work in an agile environment, and a passion for technology and innovation. Please include your portfolio, relevant experience, and expected rate in your proposal. Preferred Candidate Locations: We are specifically looking for developers based in the following countries or regions: - Turkey - Armenia - Bosnia ...

...on teaching and recording. What you'll deliver ~47 video lectures (each ≈ one focused topic, ~60 min) Live coding & tool demos with screen recording Hands-on lab walkthroughs for each module Supporting slides, code samples, and datasets Topics to cover (full syllabus provided) Python & SQL foundations, Linux & Git PostgreSQL, data modeling, star schemas, SCDs Cloud warehousing — BigQuery & Snowflake (partitioning, cost tuning) ELT pipelines with dbt (models, tests, snapshots, lineage) Workflow orchestration with Apache Airflow PySpark for big data + real-time streaming with Kafka & Spark Structured Streaming Docker, CI/CD (GitHub Actions), Terraform basics, Azure Data Factory End-to-end capstone pipeline (ingest → transform → serv...

...pipeline, and returns clear, evidence-backed talking points in under two seconds. • Lightweight front-end component or sample call that renders the output inside the CRM workspace. • Evaluation script with metrics for factual accuracy, hallucination rate, and compliance wording. Useful context We already house HCP interactions, content engagement, sample data, and field notes in a single Snowflake cluster and expose them through REST and GraphQL. You’re free to choose the stack—Python, Typescript, LangChain, Azure OpenAI, or similar—as long as it’s containerised and cloud-agnostic. If you have deep experience with LLMs, retrieval-augmented generation, and building regulated-industry software, let’s talk timelines and milestones ...

...connect with some of the most interesting people in AI. This is NOT a traditional sales position. You will not be cold-calling small businesses. You will be identifying and initiating conversations with: * Former OpenAI employees * Former Anthropic employees * AI startup founders * Agent platform builders * Infrastructure engineers * Researchers * Technical investors * Palantir, Databricks, Snowflake, Scale AI, Cursor, Windsurf, , and similar ecosystems Your Mission Help LuisCore answer one question: “Are we building something that matters?” Responsibilities * Research and identify high-value individuals and organizations * Build targeted contact lists * Conduct outreach via LinkedIn, email, X, GitHub, forums, and technical communities * Secure conversations,...

Key Requirements: 3–5 years of hands-on Tableau experience Strong Tableau dashboard development and data source management experience Good SQL skills Exposure to Tableau Server, including publishing, schedules, permissions, and troubleshooting refresh failures Familiarity with AWS and cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery Strong verbal and written communication skills Comfortable working with unfamiliar datasets and taking direction from internal teams Willingness to work a night shift aligned to US Eastern Time Preferred Experience: Tableau Server administration AWS fundamentals and Tableau connectivity with cloud-hosted data sources Extract performance optimization Managed services or client-facing support environments Exposure to Tableau Cl...

DETAILED LIST OF JOB DUTIES AND RESPONSIBILITIES • Lead the design, development, and optimization of scalable ETL/ELT pipelines using Informatica to integrate data from diverse source systems into Snowflake. • Provide technical ownership of Snowflake-based data warehouse solutions, including architecture, performance tuning, and cost optimization. • Ensure data ingestion, storage, and processing fully comply with HIPAA, HITECH, and organizational privacy and security standards. • Lead the development and evolution of enterprise data models, schemas, and analytics-ready views in Snowflake. • Support and guide interoperability and data exchange initiatives using healthcare standards such as HL7, FHIR, and X12 EDI. • Define ...

Title: AI Orchestrator Agent – Snowflake Sandbox / Dev Implementation (Phase 1) Budget: Fixed Price – $250 USD Timeline: 5 days Project Overview: We are building an AI-driven data retrieval agent for a fintech AI assistant platform. The system has two surfaces: BUDIE – internal staff interface BILLIE – customer-facing interface The agent sits in Tier 2 (Orchestrator Agent), orchestrating requests through semantic, validation, and tool layers. Important: No production credentials will be provided. No Snowflake sandbox or sample schemas from the client. The developer can use a personal Snowflake dev account or create a sandbox with sample data for implementation. Claude API key will be provided for LLM integration. Scope of Work (Step 1) Env...

I need an AI-driven agent built with either LangGraph or LangChain that plugs directly into our Snowflake warehouse and focuses exclusively on data retrieval. The goal is to give business users a natural-language interface that can: • Execute custom SQL and Snowpark queries on demand • Stream real-time updates as underlying tables change • Run scheduled extractions and drop results into predefined destinations (another Snowflake schema, S3, or a REST endpoint) The workflow should be orchestrated so each step—authentication, query composition, execution, and result formatting—runs as a clear, maintainable graph or chain. Please incorporate robust error handling, role-based access, and simple hooks where we can add further processing later. Del...

...Responsibilities Design and develop interactive dashboards and reports using Power BI Build and maintain automated workflows using Power Automate Integrate and extract data from Dynamics 365 Business Central (preferred) and other enterprise systems Design and implement end-to-end data warehousing pipelines, including: Data ingestion (ETL/ELT) Data transformation and cleansing Data modelling (star/snowflake schemas) Ensure data accuracy, consistency, and performance optimization Collaborate with stakeholders to gather business requirements and translate them into technical solutions Enable and support advanced analytics or AI use cases (forecasting, predictive insights, etc.) Document processes, data models, and workflows Required Skills Strong experience with: Power BI (Data...

I am seeking to build a production-grade, zero-blind-spot Network Observability Platform. The platform will ingest, decode, and visualize massive telemetry streams from both mobile (4G/5G SA) and wireline telecom infrastructure. Instead of heavy legacy sidec...executive reporting layers. Required Freelancer Skills eBPF / Kernel Tracing: Expert in C/Go, eBPF maps, ring buffers, and the Linux kernel verifier. Telecom Networks: Thorough understanding of 3GPP 5G Standalone architectures, SBA, and Wireline broadband routing (BNG, BRAS, PPPoE). Data Engineering: Advanced mastery of Apache Kafka, stream processing, and big-data analytics platforms (ClickHouse, Snowflake, or Thanos/Prometheus). DevOps: Hands-on experience with Kubernetes, OpenShift, Helm, and cloud-native infrastructure a...

I am moving a single, fully structured PostgreSQL dataset (in the 1 TB – 10 TB range) into Snowflake and want the entire flow handled through Snowflake Openflow so that future incremental loads can piggy-back on the same orchestration. You will start by designing the Openflow pipeline, mapping every PostgreSQL schema, table, and index to its Snowflake equivalent, and putting in place the monitoring hooks Snowflake recommends for high-volume transfers. The goal is a like-for-like copy—no transformations—so row counts, constraints, and data types must match exactly once the job completes. Because of the data volume I need solid strategies for parallelisation, fault tolerance, and restartability. Please plan for a test run on a reduced slice...

I am moving a single, fully structured PostgreSQL dataset (in the 1 TB – 10 TB range) into Snowflake and want the entire flow handled through Snowflake Openflow so that future incremental loads can piggy-back on the same orchestration. You will start by designing the Openflow pipeline, mapping every PostgreSQL schema, table, and index to its Snowflake equivalent, and putting in place the monitoring hooks Snowflake recommends for high-volume transfers. The goal is a like-for-like copy—no transformations—so row counts, constraints, and data types must match exactly once the job completes. Because of the data volume I need solid strategies for parallelisation, fault tolerance, and restartability. Please plan for a test run on a reduced slice...

...practices --- Required Skills 7–10 years in Data Engineering (3+ years in lead role) Strong in SQL, Python, and Spark (PySpark/Scala) Experience with Snowflake, Databricks, BigQuery, or Redshift Solid understanding of data modeling (Kimball / Data Vault) Hands-on with streaming systems (Kafka / Flink) Familiarity with Terraform, CI/CD, and Cloud (AWS/GCP/Azure) --- Good to Have Experience with Feature Stores (Feast, Tecton) Knowledge of Data Mesh / CDC tools (Fivetran, Airbyte) Exposure to Graph or Vector Databases Open-source contributions or advanced degree --- Tech Stack Python, SQL, PySpark, Scala | Snowflake, Databricks, BigQuery Airflow, dbt | Kafka | AWS/GCP | Docker, Kubernetes, Terraform --- Interested candidates can reach out direc...