Senior Data Engineer
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build data pipelines
- Collaborate with Agile scrum teams
- Deploy data pipeline solutions on AWS
- Design data integration patterns
- Maintain data models
- Maintain engineering documentation
- Monitor data quality
- Optimize data models for operations and analysis
- Perform data analysis for troubleshooting
- Reconcile production data
- Support data governance and master data management
- Write unit, integration, and performance tests
Perks/Benefits
- Bereavement leave
- Diversity, equity, and inclusion programs
- Employee assistance program
- Employee referral program
- Group accident insurance
- Group term life insurance
- Healthcare insurance
- Home internet reimbursement
- Hybrid work environment
- Learning platforms
- Maternity leave
- Mobile Phone Reimbursement
- Paternity leave
Skills/Tech-stack
AWS | CI/CD | Confluence | Data Modeling | Data integration | Database optimization | Databricks | DevSecOps | Dimensional Modeling | DynamoDB | End to End | End-to-End Testing | Git | GitHub | GitLab | GraphQL | Infrastructure as Code | Integration Testing | Jenkins | Jira | Kafka | Lambda | MongoDB | PostgreSQL | PySpark | Python | REST | SQL | SQS | Spark Streaming | Step Functions | Terraform | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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