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Sr Azure Data Engineer
Salary undisclosed
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Job Title: Application Development - Machine Learning Engineer/AI Engineer
Must be local to MN, hybrid in Hopkins, MN 3 days/week.
Client : U.S. Bancorp
What are the top 5-10 responsibilities for this position? (Please be detailed as to what the candidate is expected to do or complete on a daily basis)
- Responsible for designing, developing, testing, operating and maintaining products
- Takes full stack ownership by consistently writing production-ready and testable code
- Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
- Performs analysis on failures, propose design changes, and encourage operational improvements
- Makes sound design/coding decisions keeping customer experience in the forefront
- Takes feedback from code review and apply changes to meet standards
- Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
- Accountable for ensuring all aspects of product development follow compliance and security best practices
- Exhibits relentless focus in software reliability engineering standards embedded into development standards
- Embraces emerging technology opportunities and contributes to the best practices in support of the bank s technology transformation
- Contributes to a culture of innovation, collaboration and continuous improvement
- Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation
What skills/technologies are required (please include the number of years of experience required)?
- Senior Azure Data Engineer & Test Engineer, Responsible for data engineering/ingestion, testing Data Pipelines, build frameworks using tech stack PySpark, ADF, Synapse, Azure Data Lake, Sql Server, DevOps etc.
- Good to have Kubernetes, Azure Service Fabric, Delta Lake, Informatica, SSIS, Sql Server etc.,
- Should be ready to pitch in for Data Analysis and provide Solution architecture on demand.
- Should document all the work and provide pipeline demo, UAT support and Production deployment.
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