Senior ETL Developer – Azure, AWS & Databricks

We are seeking a Senior ETL Developer to design, develop, maintain, and optimize data pipelines supporting Data Warehouse and Business Intelligence solutions.

• Develop and maintain ETL processes for initial and daily data loads across structured, semi-structured, relational, and multidimensional data sources.
• Hands‑on experience with Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI.
• Experience with the Databricks Platform and AWS data technologies, including AWS Glue, Amazon Aurora, and OpenSearch.
• Build and maintain ETL scheduling, job dependencies, data integration, data cleansing, and data quality processes.
• Strong expertise in complex SQL queries, performance tuning, database administration, and data modeling for data warehouses and data marts.
• Use Git and source control strategies while following software development lifecycle practices, including development, testing, QA, and delivery.
• Prepare technical documentation, including ETL source-to-target mappings, data models, architecture artifacts, and detailed design documents.
• Collaborate with business stakeholders to gather, document, and validate requirements while ensuring scalable, maintainable, and high‑quality data solutions.
• Nice to have: C#, APIs, Azure Functions, PowerShell, dashboard/report development, and knowledge of AODA standards.