Data Engineer at dsm-firmenich designing and maintaining robust data pipelines. Collaborating on impactful projects centered around data for health, nutrition, and beauty.
Responsibilities
Provide technical recommendations and evaluate project feasibility and workloads.
Design and implement efficient pipeline architectures for data ingestion, transformation, and storage.
Develop modular, efficient code for data transformation and integration, ensuring adherence to modern development practices.
Perform data ingestion from source systems, including ETL processes, when tables are not available on the data platform.
Conduct regular pipeline maintenance and upgrades, troubleshooting and resolving issues to ensure optimal performance.
Implement data quality testing and validation to maintain high standards of data integrity and reliability.
Requirements
Expert knowledge in SAP, SQL, Python, Spark, Git, Databricks, and dbt.
Strong problem-solving skills.
5+ years’ experience in creating and maintaining data pipelines.
Ability to closely collaborate with data modelers to ensure seamless data integration and transformation.
Proficiency in modern development practices and data quality testing.
Commitment to continuous learning and improvement.
Benefits
Unique career paths across health, nutrition and beauty, explore what drives you and get the support to make it happen
A chance to impact millions of consumers every day, sustainability embedded in all we do
A science-led company, cutting edge research and creativity everywhere, from biotech breakthroughs to sustainability game-changers, you’ll work on what’s next
Growth that keeps up with you, you join an industry leader that will develop your expertise and leadership
A culture that lifts you up, with collaborative teams, shared wins, and people who cheer each other on.
A community where your voice matters, it is essential to serve our customers well.
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