Data Engineer
On-siteWeesp, North Holland, The Netherlands
Weesp, North Holland, The NetherlandsOn-siteFull TimeBachelors DegreeLarge
Full TimeBachelors DegreeLarge
Job Summary
Design and implement data pipelines for various projects using AWS native services, Databricks, and Redshift. Develop optimal pipeline architecture, perform ETL processes, and integrate large, complex datasets to meet diverse business requirements. Customize integration tools, manage databases, and enhance internal Python libraries for pipeline development. Monitor data performance, uptime, and scalability while creating architecture documentation and participating in peer code reviews. Stay current with emerging trends to recommend innovative solutions that support efficient processing and visualization.
Required Qualifications
- Bachelor's degree in Computer Science, IT, or a related field
- Minimum 3 years of experience in Data Engineering or Software Engineering
- Hands-on experience with AWS, Databricks, and/or Spark
- Strong programming skills in Python, ideally PySpark or Kafka
- Knowledge of strategies for processing large volumes of structured and unstructured data, including multi-source integration
- Experience with data cleaning, wrangling, visualization, and reporting
- Experience developing Power BI reports
- Excellent communication skills and ability to work effectively in a distributed team
- Fluent in English, written and spoken
Desired Qualifications
- Familiarity with BI applications, data quality, and performance tuning
- Exposure to pharmaceutical manufacturing operations, with an understanding of GMP regulations, validation processes, and quality-driven production environments
- Understanding of industrial manufacturing processes and systems, including process flows, piping and instrumentation concepts, and temperature-controlled production environments
- Ability to communicate in Dutch, German or Spanish
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