Job Title: Azure Data Engineer (MS DP203 Certification Mandatory).
Location: Amsterdam NetherlandsHybrid (2/3days onsite in a week ).
Key Responsibilities:
- Design develop and maintain complex data pipelines using Azure Data Factory and Azure Databricks.
- Build and optimize largescale data processing solutions using PySpark and Databricks.
- Collaborate with crossfunctional teams to gather data requirements and deliver scalable efficient data solutions.
- Implement CI/CD pipelines in Azure DevOps for automated testing integration and deployment of data workflows.
- Develop test and maintain robust ETL processes using Python.
- Monitor troubleshoot and optimize data pipelines to ensure high performance and reliability.
- Ensure data security and compliance with organizational standards and industry best practices.
- Stay up to date with the latest trends and advancements in cloud data engineering and Azure technologies.
Requirements
- MS DP203 Certification (mandatory).
- Handson experience with Azure Data Factory for orchestrating and automating data workflows.
- Proficiency in Azure Databricks for building and managing scalable data frameworks.
- Strong programming skills in Python with practical experience in PySpark for big data processing.
- Experience with Azure DevOps and implementing CI/CD pipelines.
- Proficiency in SQL for querying analyzing and managing large datasets.
- Strong analytical and problemsolving skills.
- Ability to work independently as well as collaboratively in a team environment.
- Excellent communication and documentation skills.
SAP experience; strong exposure to S/4 HANA Greenfield implementations. Proficient in SAPUI5, JavaScript, HTML5, CSS, jQuery. Expertise in Fiori elements, CDS views, RAP, clean core extensibility. Hands-on with SAP BAS, VS Code, and GIT. Experience in Fiori Launchpad configuration and Gateway services. Solid understanding of S/4 HANA core modules: Finance, Procurement, EAM.