Data Ops Engineer
IND - Chennai Office, India
INR 2520K-3880K (estimate) Senior-level Full Time
Tasks
- Architect and implement AI solutions at scale
- Coach engineers and run design reviews and documentation
- Define and track data reliability KPIs
- Define enforce and embed automated data tests in CI CD
- Ensure data reliability including freshness completeness accuracy
- Establish data governance for lineage traceability and stewardship
- Implement DataOps automation with CI CD infrastructure as code and configuration management
- Implement data observability and monitoring
- Implement pipeline validation reconciliation and regression testing
- Integrate data lineage for model training and drift monitoring
- Lead design build and operation of data and analytics platforms
- Lead response to data incidents root cause analysis and remediation
- Maintain operational runbooks and data contracts
- Own batch and streaming data ingestion transformation and serving
- Partner with infrastructure and platform teams on cloud native deployments
- Provide reliable feature pipelines and versioned datasets
- Support performance and scalability testing for data pipelines
- Support secure access to structured and unstructured data
Perks/Benefits
- N/A
Skills/Tech-stack
AI Engineering | AWS | Access Control | Apache Spark | Automated testing | Azure | Bash | CI/CD | Configuration Management | Data Engineering | Data Governance | Data Lineage | Data Observability | Data Pipelines | Data Quality | Data Reliability | Data Reliability Engineering | DataOps | Incident Management | Infrastructure as Code | MLOps | Machine Learning | Monitoring | Performance Engineering | Pipeline Orchestration | Python | Reliability Engineering | SQL | SRE | Scala | Schema drift | “as-code”
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