Spclst , Data Engineering
IND - Telangana - Hyderabad (Hitec City Raidurg), India
INR 1163K-2558K (estimate) Mid-level Full Time
Tasks
- Design scalable data pipelines
- Document data models pipeline logic and operational procedures
- Ensure alignment to enterprise standards
- Implement access control and encryption for secure data handling
- Implement data quality checks and validation rules
- Ingest data from source systems
- Optimize performance reliability scalability and cost
- Support batch near real time and event driven processing
- Support production readiness incident resolution and continuous improvement
- Track lineage and monitor data pipelines
- Transform curate and validate data into datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Glue | AWS IAM | AWS Lake | AWS Lake Formation | AWS Lambda | AWS S3 | AWS Step Functions | Access Control | Amazon Athena | Amazon CloudWatch | Amazon Kinesis | Amazon Redshift | Amazon Web Services | Batch Processing | CI/CD | Context engineering | Data Governance | Data Lineage | Data Modeling | Data Monitoring | Data Pipelines | Data Products | Data Quality | Data Validation | ELT | ETL | Encryption | Event Driven | Event-driven architecture | Infrastructure as Code | Lake Formation | Observability | Prompt engineering | Schema Design | Step Functions | Stream processing | Web Services | “as-code”
Education
N/A
Roles
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