Senior Data Engineer
Bengaluru, Karnataka, India
R
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Architect AWS SageMaker and Bedrock integrations
- Build scalable AWS data pipelines
- Create infrastructure as code with automated testing
- Design and develop ETL and ELT pipelines
- Develop data catalogs and data mapping documentation
- Ensure security and compliance for data solutions
- Establish observability for data platforms
- Implement data quality checks and root cause analysis
- Lead code reviews and enforce data governance
- Manage CI CD deployments for data workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CloudFormation | AWS CodePipeline | AWS Glue | AWS Lake | AWS Lake Formation | AWS Lambda | AWS SageMaker | Agile Scrum | Alerting | Amazon Bedrock | Amazon Redshift | Amazon S3 | Apache Spark | Cloud Security | Code review | Data Catalog | Data Governance | Data Lake | Data Quality | Data Security | Data Warehousing | Data Wrangler | Data mesh | ELT | ETL | Feature Engineering | Feature Store | GitHub Actions | Infrastructure as Code | Knowledge bases | Lake Formation | Lakehouse | Logging | Medallion Architecture | Monitoring | Observability | PySpark | Python | RAG | SQL | Snowflake | Terraform | Unit Testing | “as-code”
Education
N/A
Roles
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