Senior Azure Data Engineer - ETL/Power BI

Key Responsibilities

• Lead and participate in the design, development, and deployment of scalable BI and data engineering solutions.
• Build robust data pipelines and integrations using Azure Data Factory (ADF) and Databricks (Python/Scala).
• Develop interactive and insightful Power BI dashboards and reports, with strong expertise in DAX and Power Query.
• Collaborate with stakeholders to gather business requirements and translate them into technical solutions.
• Optimize data models and ensure best practices in data governance, security, and performance tuning.
• Manage and enhance data warehousing solutions, ensuring data consistency, availability, and reliability.
• Work in an Agile/Scrum environment with product owners, data analysts, and engineers.
• Mentor junior developers and ensure code quality and development standards are maintained.
  

Technical Must-Haves

• Power BI : 3+ years of hands-on experience in developing complex dashboards and DAX queries.
• Databricks (Python/Scala) : 3 to 4+ years of experience in building scalable data engineering solutions.
• Azure Data Factory (ADF) : Strong experience in orchestrating and automating data workflows.
• SQL : Advanced skills in writing and optimizing queries for data extraction and transformation.
• Solid understanding of data warehousing concepts, star/snowflake schemas, and ETL/ELT practices.
  

Nice To Have

• Knowledge of Azure Synapse Analytics, Azure Functions, or Logic Apps.
• Experience with CI/CD pipelines for data deployments.
• Familiarity with Azure DevOps, Git, or similar version control systems.
• Exposure to data lake architecture, Delta Lake, or medallion architecture