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Analytics Engineer (ID:207)


Vår kund letar efter en konsult till analytics-avdelningen, med fokus på AWS och Spark.

Assignment: You will join the Validated Learning team, part of Product and Tech branch to create and export aggregated datasets that are to be used by an external third-party tool to leverage our user behavior for experimentation purposes. To achieve this, you will use Databricks and will be in contact with our Data Engineers to be able to tap into our Data Lake. Successful candidates must have: - Familiarity with cloud-based technologies - Good knowledge of Spark framework. - Excellent coding skills: SQL, Python, PySpark and/or Scala. - Experience creating aggregations. - Excellent Communication Skills. Nice to have: - Experience working with AWS - Experience in media or streaming - Experience working with Databricks - Experience with software development and its best practices



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Lifecycle engineer/business analyst (75%) ID:197

The Lifecycle engineer is responsible for performing cost-to-serve analysis and identifying and driving improvement suggestions to ensure low lifecycle costs in product development. The lifecycle engi

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