Senior Data Engineer
  • Location: Amsterdam, The Netherlands
  • Contract: Employee, Full Time
  • Category: Engineering
  • Team: Search
  • Department: Product Engineering
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What you'll do

  • Build the infrastructure and tooling required for optimal extraction, transformation and loading of data from a wide variety of data sources using cloud native big data services from AWS/Azure
  • Deploy analytics tools that utilize the data pipeline to provide actionable insights into customer usage, operational efficiency and other analytical and business performance metrics
  • Work with stakeholders including the business analysts, data scientists to assist with data-related technical issues and support their data (infrastructure) needs and prepare data for modeling and analytics
  • Understanding of effective data driven decision making across stakeholders.

What you'll need

  • Proven experience building and optimizing ‘big data’ data pipelines, architectures and data sets, also for AI/ML applications
  • A successful history of loading, manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of stream & batch processing in/out to highly scalable data/metrics stores
  • Advanced knowledge of query languages like SQL and working familiarity with a variety of databases
  • Hands-on experience with non-relational & relational databases like Postgres, RedShift, Cassandra, Data Explorer, etc.
  • Hands-on experience with programming languages Python is a must, Spark
  • Experience with processing and managing large data sets (tens to hundreds of TB scale)
  • Knowledge and experience in building big data consumption patterns such as data APIs, visualization tools and platforms is good to have
  • Experience with one of the the cloud platforms like AWS/Azure is a plus
  • Degree in Computer science/Data science/Data engineering or a Master’s is a plus.
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