Data Engineer – Digital Transformation

• Collect, store, process, and analyze large data sets.

• Implement data solutions on Palantir Foundry or for specific AI solutions.

• Collaborate with global teams across development, manufacturing, quality, sales, and purchasing.

• Build large-scale batch and real-time data pipelines using frameworks like PySpark and Spark.

• Ensure data quality and perform data problem analysis.

• Develop, construct, test, and maintain data pipelines.

• Document data and maintain definitions.

• Contribute to functional analysis and user needs translation into structured data pipelines.

• Prepare data for predictive modeling and develop associated processes.

• Conduct feasibility studies for optimal technical solutions.

• Utilize Agile and DevOps methodologies to deliver projects timely.

• Share expertise and facilitate knowledge transfer within the team.

Key Requirements:

• 3-5 years of experience in data mining from various data sources.

• Proven experience with data processing frameworks, particularly PySpark or Spark.

• Strong understanding of data quality assurance and analysis.

• Ability to develop and maintain data pipelines.

  • Fluency in English, both verbally and in writing.