Responsible for data governance, pipeline orchestration, and automation across Azure environments. Focus on data quality, performance, and compliance with an emphasis on CI/CD workflows.
- Experience Range - 4 to 6 yrs
- Responsible for the governance ensuring data availability, accuracy, and performance across environments as an expert Azure Data Ops with 4-6 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.
Top Skills
Azure Data Factory
Azure Devops
Databricks
Delta Lake
Powershell
Python
Spark
SQL
Synapse
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