Senior ETL Data Developer
Tasks
- Build data workflows for ingestion transformation and loading
- Collaborate with data architects and BI teams
- Design ETL/ELT pipelines
- Develop Databricks pipelines using PySpark and Spark SQL
- Develop SQL stored procedures and queries
- Develop and maintain SSIS packages
- Ensure data governance, security, and compliance
- Implement data validation error handling and logging
- Integrate SSIS with Databricks and lakehouse architectures
- Migrate data from legacy systems to cloud or distributed environments
- Monitor and troubleshoot ETL jobs
- Optimize ETL pipelines for performance reliability and scalability
- Perform code reviews documentation and deployments using SDLC Agile
- Support batch and near real time data processing
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Azure | Data Migration | Data Validation | Data Warehousing | Databricks | ELT | ETL | Error Handling | Lakehouse | Logging | Performance Tuning | PySpark | SDLC | SQL Server | SSIS | Spark | Spark SQL | Stored Procedures | T-SQL
Education
N/A
Roles
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