Data Engineer

Job Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines on Microsoft Azure (Azure Data Factory, Databricks, Azure SQL / Azure SQL Managed Instance).
• Optimize SQL queries and stored procedures for performance, scalability, and reliability.
• Collaborate with data modelers to understand data structures, normalization, and data quality requirements.
• Implement CI/CD pipelines and deployment strategies using Azure DevOps (Repos, Pipelines, Release Management).
• Monitor, troubleshoot, and improve data pipelines; resolve data quality issues and incidents.
• Support the Data Tech Lead and internal teams with technical discussions and development work.
• Coordinate with Group Office tech team and local IT teams (architects, business analysts, etc.).
• Participate in Agile ceremonies and use tools like JIRA, Confluence, and Kanban boards.

Job Requirements:

• Minimum 3 years of hands-on experience in ETL/ELT, Databricks, SQL, and stored procedures.
• Strong skills in SQL tuning and performance optimization.
• Experience with Azure Data Factory and Databricks.
• Familiarity with Azure SQL or Azure SQL Managed Instance.
• Working knowledge of Azure DevOps (Repos, CI/CD pipelines).
• Understanding of data modeling and normalization principles.
• Experience working in Agile environments using tools like JIRA and Confluence.
• Experience in vendor management, including coordinating with external vendors, managing deliverables, and tracking SLAs.