What are the responsibilities and job description for the Sr. Data Engineer - Enterprise Data Platforms position at Meytier Inc.?
Meytier works with companies across the globe to find top tier talent for their open roles.
At Meytier, we leverage our unique AI & Analytics based smart hiring and talent intelligence technology platform to hire the right people, for the right job, at the right time, using unbiased intelligence that allows companies to do it in an equitable manner. Meytier helps companies hire more qualified diverse candidates and reach their workforce diversity goals.
We’re working with one of the nation’s oldest and largest financial institutions, with $179.2 billion in assets, they rank 15th among banks in the country . Headquartered in Providence, Rhode Island, our client operates in both Consumer Banking and Commercial Banking, with 1,000 branches in 11 states and a broad range of commercial clients
The Enterprise Data Platforms, Risk and Finance Technology team is looking for a Senior Data Engineer with a winning track record in building high performing data and analytical solutions that transform, integrate, and make data available for business.
As a Senior Data Engineer, you will be responsible for the management of existing Data Frameworks and development of new frameworks that solve data problems across the enterprise. Along with delivering these enterprise capabilities, you will lead a team of engineers and get an opportunity to mentor them. You will also be responsible for building and deploying data products including driving architecture, design, build, test, and support applications in production.
Primary responsibilities include :
- Drive technical requirements of Data Frameworks and build solutions to meet them.
- Identify opportunities to expand the frameworks as well as create new frameworks that can be built once and re-used across multiple use cases.
- Building robust data pipelines to collect, process and compute different metrics from various financial sources, adhering to quality and development standards.
- Designing application architecture / technical design and articulating the data frameworks to team members and data engineers.
- Collaborating with cross functional team members as necessary and coming up with optimal solutions that meet data demands.
- Deploy high performing, quality / bug-free code in production.
- Executing unit test of data populated in target data container, validating expected result and ensuring quality and accuracy. Coordinating with business users for User Acceptance Testing and with Operations team for code deployment to upper environments.
- Following change management team stipulations on path to production requirements and strictly adhering to the compliance and regulatory needs.
Required Skills / Experience :
Education :
Schedule : Hours per Week : 40
Work Schedule : Monday through Friday
