Sr. Data Engineer
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Die Stelle
Design, build, and deploy scalable data pipelines that move data in and out of a Hadoop-based data lake.
Architect new data pipelines and models to deliver intuitive analytics and actionable insights for customers.
Develop systems and tools that enable data analysis and enhance understanding, while automating repeatable analyses and building self-service tooling for business users.
Drive end-to-end data engineering projects, collaborating across teams and owning the solution from scoping through delivery.
Establish robust data engineering processes, enable self-serve data, and contribute to R&D, data governance, and infrastructure initiatives.
Qualifications include a Master’s degree and 2+ years of experience with Hadoop, Spark, PySpark, Python/Scala, SQL, RDBMS/NoSQL, and BI/visualization tools such as Tableau and Power BI.
Architect new data pipelines and models to deliver intuitive analytics and actionable insights for customers.
Develop systems and tools that enable data analysis and enhance understanding, while automating repeatable analyses and building self-service tooling for business users.
Drive end-to-end data engineering projects, collaborating across teams and owning the solution from scoping through delivery.
Establish robust data engineering processes, enable self-serve data, and contribute to R&D, data governance, and infrastructure initiatives.
Qualifications include a Master’s degree and 2+ years of experience with Hadoop, Spark, PySpark, Python/Scala, SQL, RDBMS/NoSQL, and BI/visualization tools such as Tableau and Power BI.
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