Senior Data Engineer
Bangalore,IND, India
INR 2520K-3880K (estimate) Senior-level Full Time
Tasks
- Adopt new tools for resilience maintainability developer productivity
- Conduct root cause analysis
- Design data pipelines
- Develop ETL/ELT workflows
- Document data architectures and runbooks
- Implement data security access control compliance governance
- Lead data engineering planning execution delivery
- Maintain data warehouse health
- Mentor engineers using Agile
- Monitor and alert data platform
- Optimize compute storage query cost
- Perform incident triage
- Tune performance and scalability
- Validate data quality
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Access Control | Agile | Amazon Redshift | Azure Synapse | CI/CD | Capacity Planning | Cost Optimization | DBT | Data Contracts | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Validation | Data Warehouse | Databricks | DevSecOps | ELT | ETL | File-Based | File-based ingestion | Incident Response | Infrastructure as Code | Kanban | Monitoring | Performance Tuning | PySpark | Python | Real Time | Real-time Data | SQL | Scrum | Security | Snowflake | Streaming | Unstructured Data | “as-code”
Education
Roles
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