Senior Data Engineer
Chicago, IL, United States
USD 92K-135K (estimate) Senior-level Full Time
Tasks
- Administer data systems
- Analyze change data capture
- Build data warehouse solutions
- Coach and mentor data engineers
- Collaborate with architecture team
- Create complex SQL queries
- Create integration documentation and communicate
- Define data models for consumption
- Design ETL data pipelines
- Develop analytical solutions
- Develop stored procedures
- Document programming changes and system modifications
- Gather and scope business requirements
- Implement data quality profiling
- Ingest, integrate, and curate data
- Maintain cloud data integration approach
- Perform source target mapping
- Provide training and organizational support
- Recommend analytical solution alternatives
- Support analytics tools for end users
- Troubleshoot complex data issues
Perks/Benefits
Skills/Tech-stack
AWS | Azure Data | Azure Data Factory | Change Data Capture | Cloud Security | Data Capture | Data Factory | Data Modeling | Data Quality | Data Warehousing | Data integration | Data pipeline | Databricks | ETL | Enterprise Architecture | Microsoft SSIS | Performance Tuning | Python | Query Performance Tuning | Query performance | Relational databases | SQL | Source-target mapping | Stored Procedures | Target Mapping | UML
Education
Roles
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