Senior Data Engineer
Bengaluru, Karnataka
INR 3000K-4200K (estimate) Senior-level Full Time
Tasks
- Build data pipelines using AWS
- Collaborate with business functions to improve data model quality
- Deliver integrated scalable data products with agile scrum teams
- Deploy data pipeline solutions in Takeda AWS environments
- Design and develop data integration patterns and models
- Develop scalable data models
- Implement data reconciliation processes
- Maintain engineering documentation and wiki
- Monitor data quality and accuracy
- Perform data analysis to troubleshoot data issues
- Support data governance and master data management alignment
- Write unit, integration, and performance tests
Perks/Benefits
- 5 days leave for voluntary service
- Accident insurance
- Bereavement leave
- Diversity, equity, and inclusion programs
- Employee assistance program
- Employee referral program
- Health and wellness programs
- Healthcare insurance
- Home internet reimbursement
- Hybrid work environment
- Learning platforms
- Life insurance
- Maternity leave
- Mobile Phone Reimbursement
- No meeting days
- Paternity leave
- Travel to meetings support
Skills/Tech-stack
AWS | AWS DMS | AWS Lambda | AWS Step Functions | Agile | Amazon SQS | Confluence | Data Modeling | Data Quality | Data Reconciliation | Data Streaming | Data integration | Data quality monitoring | Database Administration | Databricks | DevSecOps | Development Lifecycle | Dimensional Modeling | Git | GraphQL | Infrastructure as Code | Integration Testing | Jira | Kafka | NoSQL | Performance Testing | PySpark | Python | Quality monitoring | REST | SOAP | SQL | SQL Optimization | Schema Design | Scrum | Software Development Lifecycle | Software development | Spark Streaming | Step Functions | Terraform | Unit Testing | “as-code”
Roles
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