Spclst , Data Engineering
INR 980K-2168K (estimate) Mid-level Full Time
Tasks
- Align data products to enterprise standards
- Design data pipelines in AWS
- Document data models pipeline logic and operational procedures
- Enable analytics and agentic AI workflows with trusted structured context
- Implement data quality checks and validation rules
- Ingest data into cloud storage and processing
- Maintain lineage tracking and monitoring
- Optimize pipeline performance reliability scalability and cost
- Process data using batch near real time and event driven patterns
- Secure data using access control and encryption
- Support production readiness incident resolution and continuous improvement
- Transform and curate data for data products
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lake Formation | AWS Lambda | AWS Step Functions | Access Control | Amazon Athena | Amazon CloudWatch | Amazon EMR | Amazon IAM | Amazon Kinesis | Amazon Redshift | Amazon S3 | Amazon Web Services | CI/CD | Context engineering | Data Governance | Data Lineage | Data Modeling | Data Monitoring | Data Quality | Data Transformation | Data Validation | Data product | ELT | ETL | Encryption | Infrastructure as Code | Knowledge graphs | Lake Formation | OWL | Observability | Ontology | Orchestration | Prompt engineering | RDF | Schema Design | Semantic metadata | Step Functions | Web Services | “as-code”
Education
N/A
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