Associate Data & ML Operations Engineer

Responsibilities

• Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures and performance bottlenecks
• Perform root cause analysis and implement long term fixes that prevent recurring issues and improve overall operational reliability
• Contribute to platform automation, CI/CD for data/ML pipelines, infrastructure as code, and disaster recovery planning
• Collaborate with Data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability
• Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs
• Provide after-hours support for critical systems and applications
• Develop and maintain documentation, runbooks, and operational standards

Qualifications

• Degree in Computer Science, Data Science, Engineering or related field
• Basic understanding of data engineering, with focus on Azure cloud technologies
• Basic understanding of Azure Databricks, including PySpark, SQL, and Delta Lake
• General understanding of data warehousing, ETL/ELT
• Experience with programming languages such as Python, PowerShell, Java
• Understanding of version control and CI/CD pipelines (Azure DevOps, GitHub etc.)
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration abilities across technical and non-technical teams
• Ability to work independently in a fast-paced, agile environment
• Passion for delivering clean, high-quality, and maintainable code