Lead, Data Engineering
IN - HYDERABAD ORION, India
INR 2771K-4064K (estimate) Senior-level Full Time
Tasks
- Automate deployments and release management
- Coordinate with governance and cloud teams
- Design lakehouse table and publication patterns
- Document onboarding procedures
- Ensure observability and monitoring
- Implement data lineage and auditability controls
- Integrate pipelines with data mastering platform
- Maintain secure and compliant platform operations
- Manage data access and permissions
- Manage production deployment monitoring and incidents
- Migrate data pipelines to Databricks
- Onboard new data assets to data platform
- Operate and troubleshoot data pipelines
- Optimize pipeline performance and reliability
- Perform data quality checks and reconciliation
- Provide technical guidance and mentor engineers
- Review code and manage delivery timelines
- Support governed metadata driven ingestion
- Tune pipeline performance in production
- Validate and publish data assets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lake | AWS Lake Formation | AWS Lambda | Amazon Athena | Amazon CloudWatch | Amazon S3 | Apache Iceberg | CI/CD | Data Engineering | Data Lineage | Data Quality | Databricks | Delta Lake | Infrastructure as Code | Job Observability | Lake Formation | Metadata Management | Metadata catalog | PySpark | Python | SQL | Spark | Unity Catalog | Version control | “as-code”
Education
N/A
Roles
Data Engineer | Data Platform | Data Platform Lead | Engineer | Lead | Platform Lead | Senior Data Engineer
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