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Data Warehouse Engineer

Beaconfireinc — United States · Posted ~4 hours ago

Mid Full-time Visa History ✓

Skills

Python SQL relational databases ETL ELT data engineering SQL Server Oracle MySQL

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Summary ✨ AI‑Generated

Develop and maintain data platforms by designing pipelines, improving data flows, and creating reliable solutions for analytics and business needs.

Highlights

Build scalable data solutions, collaborate with analytics teams, and work on automation and data processing challenges.

Description

Qualifications: ● Passion for data and a deep desire to learn. ● Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline. ● Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc) ● Experience with relational databases (SQL Server, Oracle, MySQL, etc.) ● Strong written and verbal communication skills. ● Ability to work both independently and as part of a team. Responsibilities: ● Collaborate with the analytics team to find reliable data solutions to meet the business needs. ● Design and implement scalable ETL or ELT processes to support the business demand for data. ● Perform dataextraction, manipulation, and production from database tables. ● Buildutilities, user-defined functions, and frameworks to better enable data flow patterns. ● Build and incorporate automated unit tests, participate in integration testing efforts. ● Work with teams toresolve operational & performance issues. ● Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to.