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senior data engineer

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Data Software Engineering, Apache Spark, Databricks, SQL, CI/CD, Amazon Web Services

We are looking for a remote Senior Data Engineer to make the team even stronger.

responsibilities
  • Develop, monitor, and operate the most used and most critical curated data pipeline - Sales Order Data (incl. Post-order information, e.g. shipment, return, payment). This pipeline is processing hundreds of millions of records to provide high-quality datasets for analytical and machine learning use-cases
  • Consulting with analysts, data scientists, and product managers to build and continuously improve "Single Source of Truth" KPI for business steering such as the central Profit Contribution measurement (PC II)
  • Leverage and improve a cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala
requirements
  • 3+ years of relevant experience
  • Expertise in Apache Spark along with Spark streaming & Spark SQL
  • Good hands on experience with Databricks and delta-lake
  • Fluency in Scala programming language
  • Good understanding & hands-on experience with CI/CD
  • Rich working experience with Github
  • Fluency working with AWS landscape
  • Ability to build Apache Airflow pipelines
  • Upper-intermediate or higher English level, both spoken and written (B2+)
nice to have
  • Presto
  • Superset
  • Starburst
  • Exasol

benefits for locations

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For you
  • Paid time off
  • Paid sick leave days
  • Stable income
  • Meal and home office compensation
For your comfortable work
  • 100% remote work 
  • Hybrid work opportunities
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
  • Language courses
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