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Mid LevelFull-timeAzure
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an Azure DataOps Data Engineer with strong hands-on experience in building, operating, and supporting scalable data platforms on Microsoft Azure. This role focuses on operational excellence, production support, and continuous improvement of data systems.
Key Responsibilities
- →Support production data platforms, ensuring high availability, reliability, and performance.
- →Monitor data pipelines and jobs, proactively identifying and resolving failures, performance issues, and data discrepancies.
- →Perform root cause analysis (RCA) for incidents and implement preventive measures.
- →Implement DataOps best practices including automation, monitoring, alerting, and operational dashboards.
- →Collaborate with cross-functional teams to support reporting, analytics, and downstream consumption.
- →Maintain documentation for pipelines, operational runbooks, and support procedures.
- →Participate in on-call and rotational shift support, including weekends or night shifts as required.
Requirements
- ✓3–5 years of experience in Data Engineering / DataOps roles.
- ✓Strong hands-on experience with Azure Databricks (PySpark, Spark SQL, Delta Lake), Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS Gen2).
- ✓Good understanding of ETL/ELT frameworks, batch and incremental processing.
- ✓Strong SQL skills for data analysis and troubleshooting.
- ✓Experience with production support, incident management, and SLA-driven environments.
- ✓Familiarity with monitoring tools (Azure Monitor, Log Analytics, alerts).
- ✓Understanding of Azure security concepts (RBAC, Managed Identity, Key Vault).
