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- Auburn Hills, Michigan, United States
- Auburn Hills, Michigan, United States
À propos
Location: Auburn Hills
Contract type: Permanent/Contract
Benefits: Competitive package; high-impact, high-visibility role within a major software‑defined vehicle programme
Role Focus
Design and implement complex data processing pipelines using Apache Spark
Build scalable, distributed systems for high‑throughput data streams and large‑scale batch processing
Design and implement real‑time pipelines with strong data quality and validation controls
Manage and provision cloud infrastructure using Terraform
Implement CI/CD workflows using GitHub Actions for automated testing and deployment
Uphold rigorous engineering standards ‑ unit/integration testing, code reviews, and clean documentation
Translate business requirements into technical specifications alongside cross‑functional stakeholders
What We're Looking For
5+ years in data engineering and the software development lifecycle
4+ years hands‑on with AWS cloud services
4+ years building production data applications across relational and columnar data stores
Deep expertise in Apache Spark ‑ Core, SQL, and Structured Streaming
Strong proficiency in Scala or Java for JVM‑based production development
Advanced SQL for transformation, analysis, and performance tuning
Hands‑on experience with Terraform and GitHub Actions
Experience with Apache Flink for low‑latency stream processing
Proficiency in Python for automation and scripting
Familiarity with Kafka, event‑driven architectures, and streaming data
Experience with workflow engines ‑ Airflow, Luigi, or Azure Data Factory
Familiarity with Lakehouse architectures (Delta Lake, Iceberg) or NoSQL databases
Degree in Computer Science, Engineering, Mathematics, or related field preferred
Next Steps
Press Apply – we will review your application
If qualified, you will be accepted into the network and can be considered for this and similar positions
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Compétences linguistiques
- English
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