Job Description
- Provides assessment and estimation of effort needed based on the provided Business request form.
- Develops and delivers automated data pipelines (Extract, Transform, Load-ETL) jobs in the Data Lake within expected timelines.
- Coordinates with various support groups to accomplish assigned automated data pipes for development
- Prepares deployment package for endorsement to Release Testing Team which includes Solutions Design Document and Operations Guide.
- Provides support during the stabilization phase of pipes endorsed to production until declared BAUeview and approves builds based on the set framework, standards, and best practices.
- Documents source code.
- Other job-related activities that may be assigned from time to time.
Minimum Qualifications
- Related Work Experience – At least 3-5 years of Python or Spark Experience
- 5 years' DevOps Experience (Git, Jenkins, SonarQube, Jira)
- 8 years...