PySpark Data Engineer (ID: 3887)

As a PySpark Data Engineer, you will:Design, develop, and maintain scalable data pipelines using PySpark on DatabricksBuild and optimize data processing workflows using PythonImplement workflow orchestration and scheduling (preferably using Airflow, if applicable)Work in an Agile delivery environment with cross-functional teamsEnsure data quality, performance, and reliability of data solutionsSupport integration of data from multiple sources into analytics-ready structuresWhat You Bring to the Table:5+ years of hands-on experience in PySpark (Databricks) and PythonStrong experience in building and maintaining data engineering pipelinesExposure to Airflow (preferred, not mandatory)Overall 6–8 years of professional experience in data engineering or related rolesStrong communication skills and ability to work with distributed teamsGood understanding of Agile development practicesYou should possess the ability to:Develop efficient and scalable big data processing solutions using PySparkDebug, optimize, and enhance existing data workflows and pipelinesWork independently as well as collaboratively in Agile teamsTranslate business requirements into technical data solutionsManage multiple tasks and deliver within deadlines in a fast-paced environmentWhat we bring to the table:Opportunity to work on modern data engineering stack including Databricks and PythonExposure to large-scale data engineering projects in an international environmentAgile-driven collaborative working cultureLet’s Connect:Want to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Giftson Paul DavidsonPhone: +31 20 369 0609 ; Extn : 151E-mail: [email protected]: https://www.linkedin.com/in/giftsonpauldavidson/