Data Engineer

Skills

Develop robust database solutions data integration (ETL ELT) packages automation performance monitoring SQL coding database tuning and optimization security management capacity planning database HA and database DR solutions across required data platforms. Conduct in-depth data analysis to support data product design. Identify and resolve production database and data integration issues. Collaborates closely with data quality application and visualization teams to deliver high-quality dataproducts. Participate in code review QA release and continuous deployment processes Responsible for sharing on-call rotation and off-hours outage escalations support with colleagues. Provide support for existing legacy data solutions and develop migration paths to new platforms as required/necessary

Description

This position will work within the enterprise data engineering team to continuously build, maintain, and improve the design, performance, reliability, scalability, security, and architecture of the NYBCe enterprise data products.

Candidates must be able to report into one of the following NYBCe locationsNew York City, NY; Kansas City, Missouri; St. Paul, Minnesota; Providence , RI and Newark, DE.

Responsibilities

• Experience
• 5+years of progressive database development experience with the Microsoft SQL Server family suite.
• Must have hands-on experience with RDBMS and experience with at least one cloud data platform (Azure, Google, AWS)
• Hands-on experience with SQL Server, Oracle, or other RDBMS required.
• Preferred Experience
• Ability to program or script in at least one other language other than SQL (Python, PowerShell, C#, Java, and/or R).
• Experience in the Microsoft Azure technology stack is a plus.
• Experience with the design and development of data models for transactional, integration, and analytical system is a plus.
• Experience with data analytics and visualization is a plus.