Description
No description specified
Tasks
No tasks specified
Requirements
•Professional experience in Data Engineering, Data Warehousing, or enterprise data platform delivery
•Hands-on expertise with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure Databricks
•Deep proficiency in SQL Server, complex T-SQL development, and legacy/hybrid data integration via SQL Server Integration Services (SSIS)
•Strong SQL and Python coding and scripting skills for ETL/ELT data processing, data modeling, and performance optimization
•Experience building and maintaining automated CI/CD pipelines using Azure DevOps and GitHub
•Hands-on mastery of Git-based development workflows, including branching strategies, pull request reviews, and automated release management
•Strong understanding of data architecture fundamentals, enterprise data warehousing, dimensional modeling (Kimball/Inmon), and data quality framework implementation
•Experience with Agile/Scrum delivery frameworks, troubleshooting production data pipelines, and maintaining technical architecture documentation
•Excellent problem-solving, communication, and stakeholder management skills
•Professional English proficiency
Nice to have
•Azure Data Engineer Associate certification (DP-203)
•PySpark optimization
•Delta Lake experience
•Automated unit testing for data pipelines
Conditions
•Location: Warsaw
•Contract
•Remote work format
