Data Engineer

You’ll be focused in

• Creating and manage data pipeline architecture for data ingestion, pipeline setup and data curation

• Experiencing working with and creating cloud data solutions

• Assembling large, complex data sets that meet functional/non-functional business requirements

• 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

• Building analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

• Manipulating data at scale: getting data in a ready-to-use state in close alignment with various business and Spoke stakeholders

In order to succeed, you’ll need

• Bachelor's degree in computer science, software engineering, or comparable work experience

• At least 5 years of experience as a data engineer or software developer, preferably in the automotive sector.

• Strong experience Data Lake, Data Warehouse, RDS architectures knowledge

• Experience Python, SQL (Any other OOP language is also valuable), PySpark (preferably) or Spark Knowledge

• Proven experience in ETL

• Strong knowledge of AWS namely S3, Athena, Lambda, Glue, IAM, SQS, etc.

• Strong communication and analytical skills

• Great English skills, both written and spoken. 

Nice to have

• Experience with AWS CDK Cloud Development Kit

• Experience with CI/CD pipelines

About the product

Our Production Spoke is committed to delivering value through data in the production and logistics domain.

We focus on enabling the spoke in the design, implementation, and operationalization of impactful use cases by leveraging AI technologies.