Senior Data Engineer
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Apply data governance with data trustees and data stewards
- Build and maintain data systems
- Build data pipelines using AWS
- Collaborate with agile scrum teams to deliver data products
- Deploy data pipeline solutions in AWS environments
- Design and develop data integration patterns and models
- Develop scalable data models
- Ensure data reconciliation and data quality
- Maintain engineering documentation and engineering wiki
- Monitor production data for stakeholders
- Perform data analysis to troubleshoot data issues
- Support master data management functions
- Write unit, integration, and performance tests
Perks/Benefits
- Bereavement leave
- Diversity, equity, and inclusion programs
- Employee assistance program
- Healthcare insurance
- Home internet reimbursement
- Hybrid working
- Learning platforms
- Maternity leave
- Mobile Phone Reimbursement
- Paternity leave
- Referral program
Skills/Tech-stack
AWS | CI/CD | Confluence | Data Governance | Data Management | Data Modeling | Data Quality | Data Reconciliation | Data integration | Database Administration | Databricks | DevSecOps | Dimensional Modeling | DynamoDB | End to End | End-to-End Testing | Git | GitHub | GitHub Actions | GitLab | GraphQL | Infrastructure as Code | Integration Testing | Jenkins | Jira | Kafka | MCP | Master Data | Master Data Management | MongoDB | NoSQL | PostgreSQL | PySpark | Python | RAG | REST | SOAP | SQL | SQL Optimization | Schema Design | Secure Coding | Spark Streaming | Terraform | Unit Testing | Vector Database | Vectorization | “as-code”
Education
Roles
Data Engineer | Data Engineer IV | Engineer | Engineer IV | Senior Data Engineer
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