TomTom

Data Engineer

TomTom

full-time

Posted on:

Origin:  • 🇳🇱 Netherlands

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSAzureCassandraCloudPostgresPythonSparkSQL

About the role

  • 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 business analysts and data scientists to assist with data-related technical issues and support their data infrastructure needs
  • Prepare data for modeling and analytics and enable effective data-driven decision making across stakeholders

Requirements

  • 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
  • Knowledge and experience in building big data consumption patterns such as data APIs, visualization tools and platforms
  • 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
  • Experience with Spark
  • Experience with cloud platforms (AWS/Azure) is a plus
  • Experience processing and managing large data sets (tens to hundreds of TB scale)
  • Degree in Computer Science/Data Science/Data Engineering; Master’s is a plus