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 Open Search .
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, Power Shell, dashboard/report development, and knowledge of AODA standards.