Senior Data Engineer
Tasks
- Build cloud data integration workflows
- Collaborate with stakeholders to translate requirements
- Design ETL pipelines
- Develop data warehouse solutions
- Ensure data quality and integrity
- Implement ETL scheduling and orchestration best practices
- Manage release documentation and knowledge transfer
- Optimize data pipeline performance
- Perform month end processing
- Provide production support and monitoring
- Support cloud migration
- Support enterprise reporting platforms
- Troubleshoot data and integration issues
Perks/Benefits
- Cab facility
- Flexible working hours
- Free medical insurance
- Maternity leave
- Meal facility
- Parental leave
- Secondary Parental Leave
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Amazon S3 | CloudWatch | Data Modeling | Data integration | Data pipeline | Data pipeline orchestration | Dimensional Modeling | ETL | EventBridge | Oracle | Pipeline Orchestration | Power BI | PySpark | Python | Reporting services | SCD Type-2 | SQL | SQL Server | SQL Server Reporting | SQL Server Reporting Services | SSIS | SSRS | Server Reporting Services | Snowflake | Snowflake Schema | Star Schema | Step Functions | Type 2)
Roles
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