Senior Data Engineer (ETL / Python Developer)
Indianapolis, IN, US
USD 120K-163K (estimate) Senior-level Full Time
Tasks
- Build data validation and reconciliation
- Collaborate with analysts and QA teams
- Design ETL pipelines
- Develop data processing solutions
- Ensure data quality and timeliness
- Implement CI/CD pipelines
- Optimize data pipelines
- Participate in cloud migration and modernization
- Perform code reviews and manage source control
- Support Medicaid analytics and federal reporting
- Support production operations and incident resolution
- Write SQL and stored procedures
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure | Azure Data | Azure Data Factory | Azure DevOps | Bash | CI/CD | Cause analysis | Data Factory | Data Modeling | Data Reconciliation | Data Validation | Databricks | GitHub | Informatica PowerCenter | Microsoft SQL | Microsoft SQL Server | Oracle | Powershell | Python | REST APIs | Root Cause Analysis | Root cause | SQL | SQL Server | SnowSQL | Snowflake | Snowpark | Teradata | Teradata loader utilities
Education
Roles
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