Data Engineer (ID: 3702)

As a Data Engineer, you will: Design, build, and maintain scalable data pipelines using Databricks, Spark, and Python Develop and manage data transformation workflows using dbt Implement and maintain ETL/ELT processes using Azure Data Factory Work with SQL Server to manage, query, and optimize structured data Create data models and support data architecture initiatives Develop dashboards and reporting solutions using Power BI Integrate data from multiple sources ensuring consistency and quality Support legacy and reporting systems using SSIS and SSRS (preferred) What You Bring to the Table: 8+ years of experience as a Data Engineer Strong hands-on experience with Databricks, Spark, and Python Solid experience in Azure Data Factory for data orchestration Proficiency in SQL Server and advanced SQL querying Experience working with dbt for data transformation Exposure to Power BI for reporting and visualization Familiarity with SSIS and SSRS (preferred) Strong understanding of data architecture and data modeling concepts You should possess the ability to: Design efficient and scalable data pipelines and workflows Optimize performance of SQL queries and Spark jobs Handle large-scale data processing and transformation Translate business requirements into technical data solutions Ensure data quality, integrity, and governance Work independently and manage multiple data engineering tasks Collaborate with cross-functional teams for data-driven solutions Troubleshoot and resolve data-related issues effectively What we bring to the table: Opportunity to work on modern data engineering tools and technologies Exposure to Azure-based data platforms and architecture A role focused on end-to-end data lifecycle management Hands-on experience with Databricks, dbt, and Power BI ecosystems Challenging projects involving large-scale data processing Collaborative environment working with data and analytics teams Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Aswin Dhanvandhar Phone: +31 20 369 0609 ; Extn :141 Email: aswin.d@stafide.nl LinkedIn: https://www.linkedin.com/in/aswin-dhanvandhar/