Data Engineer (ID: 3674)

As a Data Engineer, you will: Design, develop, and maintain scalable data pipelines using Databricks (Python & SQL) and Apache Spark Build and manage robust data transformation workflows using dbt Orchestrate end-to-end data workflows using Azure Data Factory Implement and monitor data quality checks using tools like Soda Ensure data governance, cataloging, and compliance using Microsoft Purview Develop and optimize data models for reporting and analytics Collaborate with cross-functional teams including data analysts, BI developers, and stakeholders Support reporting solutions using Power BI, including DAX-based calculations Contribute to CI/CD pipelines and deployment processes using Azure DevOps What You Bring to the Table: 6–10 years of experience in Data Engineering or related roles Strong hands-on experience with Databricks, Spark, and Python Solid expertise in SQL Server and advanced SQL querying Experience with dbt for data modeling and transformation Proven experience with Azure Data Factory for orchestration Knowledge of data quality frameworks and tools like Soda Familiarity with data governance tools, especially Microsoft Purview Experience working in cloud-based data platforms, preferably Azure Exposure to Power BI and DAX for reporting and analytics (Preferred) Experience with SSIS / SSRS You should possess the ability to: Work in a modern, industrialized data ecosystem with strong governance standards Design efficient and scalable data architectures Ensure high data reliability, quality, and integrity Troubleshoot and optimize complex data pipelines Communicate effectively with both technical and non-technical stakeholders Adapt quickly in a fast-paced, agile environment What we bring to the table: Opportunity to work on modern cloud-based data platforms and technologies Exposure to enterprise-level data governance and quality frameworks A collaborative and innovation-driven work environment Opportunities for continuous learning and professional growth Challenging projects that drive business impact through data Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Hari Sankar R Phone: +31 20 369 0609 ; Extn : 147 Email: harisankar.r@stafide.nl LinkedIn: https://www.linkedin.com/in/harisankar753/