Data Engineer
1 month ago
About CDK Global
CDK Global is a leading provider of integrated information technology and digital marketing solutions to automotive dealerships and manufacturers worldwide.
We are a global company with a small business feel, where every person matters and can make an impact on our growth and success.
Job Summary
We are seeking a highly skilled Data Engineer to join our Neuron Analytics Platform team.
As a Data Engineer, you will be responsible for building and operating one of the largest data platforms for automotive data, the leading API marketplace in the automotive data industry, and facilitating AI/ML practice against a large and varied real-time data pipeline.
Key Responsibilities
- Maintain a large and growing set of data sources and pipelining processes to deliver 100% reliability and integrity.
- Use cloud-native principles for massive scaling and cost-efficient use of cloud resources.
- Apply innovation, intelligence, and heuristic approaches to our ETL rather than standard, fixed brute-force rules.
- Continuously enhance our technology platform and toolsets as new problems arise: building and buying when appropriate.
- Become a subject matter expert in the data itself, to apply better semantic checks and structure the data more intelligently than anyone else could.
- Build an agile version management and production release process for data.
- Work with our customers to help them develop more agile internal data management processes.
Requirements
- Bachelor's degree in CS, or equivalent experience.
- At least 7-11 years of commercial work history managing complex data sets with novel, fault-tolerant approaches.
- Track record of success in using diverse technologies and approaches to manage data in an extremely dynamic environment.
What We Offer
We use a range of tools and technologies, including SQL, PySpark, DataBricks, Snowflake, Python, RDBMS, Cloud, and Kafka.
We are looking for someone who has a deep understanding of ETL concepts but is not just a DBA or ETL developer, who is not wedded to any particular toolkit, and who is comfortable with programming, algorithmic thinking, automated testing, and pushing the envelope on agile database development and process automation.
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