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The Enterprise Data Engineering (EDE) 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 development of data processing/transformation processes, primarily in a public cloud (AWS) but also On-premises. Along with delivering data capabilities, you will lead a team of engineers and get the opportunity to mentor them. You will be responsible for building and deploying data products including driving architecture, design, build, test, and support applications in production.
Key responsibilities:
Implementing data integration solutions for multiple platforms in Citizens.
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 pipeline solutions to team members.
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.
Desired Profile:
5+ years Data Engineering experience
Working Experience with MDM tools like MDM SaaS Customer 360 with understanding on MDM process like Match/Merge/Survivorship setup and Tuning
Hands-on in a programming language such as Java, Scala or Python and experience on developing and deploying API
Working experience with message brokers/messaging platforms such as Apache Kafka
Proven track record of working with microservices and batch sources
Excellent skills in SQL Development and Cloud databases
Working experience with ETL Development tools like Informatica Data Integration (CDI), Informatica Application Integration (CAI) would be a plus
Working experience with Experience with Reference 360, Role based access setup would be plus
General understanding of Cloud offerings for Data processing (AWS would be a plus)
Ability to work on AWS Glue, AWS S3, Lake formation and other cloud concepts.
BS/Engineering in Computer Science or any technology related degree.
Compensation Range:$130k-$160k + 10% bonus
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