Data Ops Engineer
IND - Chennai Office, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect and implement AI solutions at scale
- Coach engineers on data pipeline design automation reliability and secure handling
- Define and enforce data testing standards and data quality checks
- Define and track data reliability KPIs
- Design build and operate data and analytics platforms
- Embed automated data tests into CI CD workflows
- Ensure data platform deployment using cloud native patterns
- Establish engineering discipline with design reviews data contracts documentation and runbooks
- Implement DataOps automation with CI CD infrastructure as code and configuration management
- Implement data lineage traceability and stewardship
- Implement data observability and monitoring capabilities
- Lead response to data incidents with root cause analysis and remediation
- Maintain end to end data reliability freshness completeness accuracy availability
- Own data ingestion transformation and serving pipelines
- Provide trusted governed production ready data assets for analytics and ML
- Support feature pipelines and versioned reproducible datasets
- Support performance and scalability testing for data pipelines
- Translate analytics platform strategy into production data systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Apache Spark | Azure | Bash | CI/CD | Configuration Management | Data Drift | Data Governance | Data Lineage | Data Observability | Data Quality | Data Quality Testing | Data Reliability | Data Reliability Engineering | Data drift monitoring | Data pipeline | Data pipeline orchestration | Drift monitoring | Incident Management | Infrastructure as Code | MLOps | Monitoring | Pipeline Orchestration | Python | Quality testing | Reliability Engineering | SQL | SRE | Scala | “as-code”
Education
N/A
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