Requirements

Expected technologies

Microsoft Azure

Azure Data Factory

Azure SQL

Synapse Analytics

Databricks

SQL

Azure Data Fabric

Our requirements

• 5+ years of experience in Data Engineering in the Azure environment
• Fluency in Microsoft Azure Data ecosystem (i.e., Azure Data Factory, Azure SQL, Synapse Analytics, and Databricks)
• At least one completed end-to-end data warehouse implementation project
• Experience with data modelling and data integration
• Knowledge in SQL (T-SQL or any other)
• Problem-solving, analytical, and critical thinking skills
• Experience with Agile and Scrum methodologies
• Azure DevOps experience (Repos, Pipelines)
• Good command of both written and spoken Polish & English (B2 level)

Your responsibilities

• Creation, configuration, implementation, and integration of Data Lakes, Data Warehouse or Lakehouse solutions with the use of Azure technologies (Azure Data Factory, Azure SQL and Synapse Analytics, Databricks)
• Data processing and transformation of large datasets
• Designing and implementing data pipelines, data models, and data integration solutions
• Performance tuning and cost optimization
• Building ELT and ETL processes
• Collecting and monitoring performance metrics, and tuning the performance of processes
• Identifying ways of improving the data quality and efficiency
• Refactoring code for currently existing solutions
• Proposing a solution architecture based on cloud solutions
• Partnering with BI teams to define the best approach around data ingestion and data structures