Lead DataOps Engineer
IND Bengaluru - Technology Campus, India
INR 2400K-3380K (estimate) Senior-level Full Time
Tasks
- Build artifacts and document issues and object inventory
- Build incidents for data platform failures
- Configure ADF triggers
- Coordinate deployments across Dev QA and Prod
- Ensure Power BI gateway health connection stability and capacity utilization
- Ensure SLA compliance for data movement
- Handle pipeline failures retries and blocking issues
- Maintain Git integration and release pipelines
- Maintain refresh status reports
- Manage Power BI access requests and RLS issues
- Monitor ADF pipeline runs
- Monitor Databricks job runs
- Perform data corrections between source and downstream systems
- Perform deployments using deployment pipelines and PBIX migrations
- Perform root cause analysis for failures
- Track refresh failures and corrective actions
- Troubleshoot Power BI visualizations and navigation
- Validate Power BI dataset and dataflow refreshes
- Validate and fix data mismatches performance issues and incorrect measures
- Validate releases with quality control checks
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure DevOps | CI/CD | DAX | Data Factory | Data Modeling | Databricks | ETL | Git | Power BI | Power Query | SQL
Education
Roles
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