Spclst , Data Engineering
IND - Telangana - Hyderabad, India
INR 1163K-2558K (estimate) Mid-level Full Time
Tasks
- Align data products to enterprise standards with platform architecture and application teams
- Design build and maintain scalable data pipelines in AWS
- Document data models pipeline logic operational procedures and data dependencies
- Ensure secure handling of data using access control encryption and compliance
- Implement data quality checks validation rules lineage tracking and monitoring
- Ingest data from enterprise source systems into cloud storage and processing
- Optimize pipelines for performance reliability scalability and cost efficiency
- Support batch near real time and event driven data processing
- Support production readiness incident resolution and continuous improvement
- Transform and curate data into reliable datasets and data products
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lake | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon CloudWatch | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Amazon Web Services | CI/CD | Context engineering | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Products | Data Quality | Data Validation | ELT | ETL | Encryption | Infrastructure as Code | Knowledge graphs | Lake Formation | Lineage Tracking | Monitoring | OWL | Observability | Ontology | Orchestration | Prompt engineering | RDF | SPARQL | Schema Design | Step Functions | Web Services | “as-code”
Education
N/A
Roles
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