- Experience Range - 6 to 8 yrs
- Responsible for the governance ensuring data availability, accuracy, and performance across environments as an expert Azure Data Ops with 6-8 years of experience
- Orchestrate, monitor, and automate data pipelines across Azure Data Factory, Databricks, and Synapse
- Build scalable CI/CD workflows using Azure DevOps for data deployments and version control
- Ensure data pipeline reliability through alerting, auto-restart, and SLA compliance
- Set up proactive alerts and error handling for failed or delayed pipelines
- Drive process standardization and documentation for repeatable and auditable data workflows
- Enable lineage and impact analysis across datasets to improve governance and trust
- Enforce data quality checks (DQ rules, schema validation, completeness) at ingestion and transformation stages
- Collaborate with governance teams to align with cataloging, retention, and compliance standards
- Continuously optimize data processing cost, performance, and resource utilization across environments
- Hands-on expertise in: Azure Data Factory, Databricks, Synapse, and Azure DevOps. CI/CD pipeline design for data workflows. Python, SQL, PowerShell scripting for automation. Data governance and observability tools
Preferred
Familiarity with big data frameworks (Spark, Delta Lake).
Experience in a retail data environment.
Azure certifications: Azure Data Engineer Associate or DevOps Engineer Expert.
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