Senior Data Engineer

<!--block-->The Data & Analytics Hub focuses on data processes, bringing insights to the business and contributing to improving Truck & Bus products efficiency in areas related to vehicle engineering & production and sales & after-sales.

• <!--block-->Creating and managing data pipeline architecture for data ingestion, pipeline setup, and data curation
• <!--block-->Working with and creating cloud data solutions
• <!--block-->Assembling large, complex data sets that meet functional/non-functional business requirements
• <!--block-->Implementing the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using PySpark, SQL, and AWS big data technologies
• <!--block-->Building analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• <!--block-->Manipulating data at scale: getting data into a ready-to-use state in close alignment with various business and Spoke stakeholders

• <!--block-->Bachelor's degree in Computer Science, Software Engineering, or comparable work experience
• <!--block-->At least 5 years of experience as a Data Engineer or Software Developer, preferably in the automotive sector
• <!--block-->Strong experience with Data Lake, Data Warehouse, and RDS architectures
• <!--block-->Experience with Python, SQL (any other OOP language is also valuable), PySpark (preferred) or Spark
• <!--block-->Proven experience in ETL
• <!--block-->Strong knowledge of AWS, namely S3, Athena, Lambda, Glue, IAM, SQS, etc.
• <!--block-->Strong communication and analytical skills
• <!--block-->Excellent English skills, both written and spoken

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• <!--block-->Experience with AWS CDK (Cloud Development Kit)
• <!--block-->Experience with CI/CD pipelines

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