Join TomTom as a Data Engineer
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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