Data Engineer

Develop Azure Data Factory pipelines and metadata-driven data integration processes. Design Data Warehouses Create staging, warehouse, and reporting layers optimized for analytics and business intelligence. Develop ETL Solutions Process and transform data from databases, CSV, and Excel sources using ETL/ELT techniques. Design dimensional models and reporting structures to support Power BI and analytical solutions. Deliver Technical Solutions Translate business requirements into scalable data solutions while supporting Git and CI/CD processes. Requirements Strong knowledge of Azure Data Factory, Azure Storage, and Azure Data Lake. SQL Development Hands-on experience with T-SQL, Snowflake, Azure SQL, or Azure Synapse environments. ETL & Data Processing Experience building ETL/ELT processes and implementing database-side transformations. Good understanding of dimensional modelling and reporting structures for Power BI. Development Practices Experience with Git, CI/CD, business analysis, and independent project delivery. What we offer B2B Contract Employment based on a B2B contract Stable and Dynamic International Firm Opportunity to work in a stable, dynamically developing international company Engaging Projects and Latest IT Chance to participate in interesting projects and work with the latest information technologies Competitive Rates Attractive remuneration rates offeres Renowned International Projects Involvement in the most prestigious international project MultiSport and Private Medical Care MultiSport and Private Medical Care Nice to have Databricks Experience Knowledge of Databricks and PySpark for distributed data processing. Power BI Skills Experience creating Power BI data models and managing reporting data sources. Experience working with enterprise-scale data platform environments. Work with us #J-18808-Ljbffr Seargin