A Data Engineer is highly skilled in analytics, data management, and developing data architecture, making them the perfect addition to any organization in need of real-time insights. Data Engineers create the pipelines and data architecture necessary for Business Intelligence teams to access archives of data from which to analyze trends, providing them visibility into the current state of their business. In short, Data Engineers make it possible for companies to make informed decisions based on data quickly and accurately.
Here's some projects that our expert Data Engineers made real:
- Developed ETL pipelines from sources such as APIs, web services and databases, ensuring efficient data extraction while converting source data into desired formats.
- Designed custom databases and data models e.g. NoSQL and Big Data technologies such as Hadoop and Hive to store large datasets.
- Optimized data analysis processes using Python libraries such as pandas, numpy and scikit-learn to generate pattern recognition algorithms.
- Implemented advanced analytics techniques such as clustering analysis and forecasting models at scale.
- Automated data pipeline processes using source control platforms such as GIT, allowing teams to access and modify pipelines without breaking production code.
Data Engineering is an essential practice for any organization looking to analyze their historical business performance and make informed decisions on real-time data. The projects here are a testament to the power of Data Engineering; our experts have proved that with the right skillset businesses can cut through their complex datasets with ease – letting them focus on how best to use their crisp new insights. If you’re looking for an experienced and reliable comparison of your data then we invite you post your project now and hire a Data Engineer on Freelancer.com today!Từ 4,374 nhận xét, các khách hàng đã đánh giá Data Engineers 4.85 trên 5 sao.
Thuê Data Engineers
IT Staffing blogs Project Description: I am looking for a skilled writer to create engaging and informative blogs on IT staffing. The blogs will cover various topics related to IT Project manager challenges finding qualifies resources in cloud data analytics . Specifics: - The blogs should provide insights and analysis the speed of Cloud adoption and how it is becoming difficult to find the technical talent to achieve project goals. - The content should be a mix of technical and non-technical information, catering to both IT professionals and those with a general interest in the field. - Each blog should be approximately 500-800 words in length, well-researched, and written in a clear and concise manner. - I would like the blogs to be published on a weekly basis to ensure a consistent f...
Job Description: Python Web Scraper + Lead Scraper (Virtual Position) Position: Python Web Scraper + Lead Scraper (Virtual) Company: Reliant House Buyers About Us: Reliant House Buyers is a prominent real estate wholesaling company specializing in identifying and securing prime real estate opportunities. Our mission is to pinpoint distressed, off-market, and undervalued properties for potential investors, contributing to their success and growth. We are currently seeking a skilled Python Web Scraper + Lead Scraper to join our team in a virtual capacity and play a crucial role in expanding our real estate wholesaling endeavors. Role Overview: As a Python Web Scraper + Lead Scraper, your primary objective will be to develop and manage web scraping scripts using Python to extract property...
I am looking for an Azure Data Factory engineer to assist me with a one-time project. The specific tasks I need help with are pipeline development, focusing on data integration and data transformation. Ideal Skills and Experience: - Strong expertise in Azure Data Factory - Proficient in pipeline development using a hybrid approach, combining both code-based and GUI-based methods - Experience in data integration and data transformation - Familiarity with Azure services and technologies This project requires someone who can efficiently develop pipelines using the hybrid approach, ensuring seamless data integration and transformation. The candidate should be able to leverage both code-based and GUI-based methods to achieve the desired outcomes.