Major responsibilities:

• Develop and maintain ETL processes using C# applications (Console Apps, Windows Services, Scheduled Jobs) to automate data ingestion and exporting
• Analyze and integrate new third-party data sources (JSON, XML, CSV, flat files, APIs), ensuring reliable parsing, validation, and transformation
• Design and optimize complex SQL queries, stored procedures, and functions (T-SQL) to load and transform data in the Data Warehouse
• Ensure high performance and scalability of data pipelines, including batch and streaming processing
• Troubleshoot and resolve complex data integration and performance issues as a subject matter expert.
  
  

We'd love to hear from you if you have:

• 5+ years of experience in Data Engineering or similar roles
• Strong hands-on experience with Azure data stack: Azure Data Factory, Azure Synapse, PySpark, Spark SQL, Delta Lake
• Solid understanding of Data Warehouse concepts: Star schema, Snowflake schema, data normalization, data modeling, Slowly Changing Dimensions
• Good command of SQL (T-SQL) and experience in building production-grade data pipelines
• English level B2 or highe.
  

Nice to have:

• Experience with Azure Log Analytics and KQL
• Familiarity with Azure CLI, CI/CD pipelines, and Azure DevOps
• Experience working in Scrum or Kanban teams
• GitHub profile with data engineering examples or pet projects.