Job Type: Contract
Job Category: IT
Job Description
Role: Data Engineer (ETL / PySpark / Delta Lake) – Automotive Domain
Location: Detroit, MI 48092 (100% Onsite)
Duration: 6 Months
Experience: 5–10 Years
Required Technical Skill Set
Must-Have:
- Strong Data Engineering experience using ETL, PySpark, Delta Lake, SQL for ingestion.
- Experience with PID/DID slicing and MERS parsing.
- Batch job orchestration (Databricks job triggers, parameter passing).
- Visualization & reporting development (Power BI, Databricks dashboards).
Preferred:
- Manufacturing / Automotive industry experience, especially warranty systems.
- Hands-on working in Agile methodology.
Responsibilities
- Perform data engineering & analysis using Databricks across multiple source systems.
- Create, manage, and orchestrate batch jobs and pipelines.
- Design & develop reports and dashboards based on batch job outputs.
- Build and maintain reusable components, libraries, and design systems.
- Ensure code quality, conduct peer reviews, and enforce best practices.
- Collaborate with multidisciplinary teams including R&D and Manufacturing.
- Demonstrate strong problem-solving, analytical thinking, and adaptability.
- Work effectively cross-functionally and cross-culturally.
Educational Background
- MS/MTech/BTech in CS, EE, Mechanical, or related engineering fields.
USP of the Role
- Opportunity to work directly with R&D and Manufacturing teams on real automotive OEM challenges.
- Exposure to cutting-edge initiatives in a company committed to an all-electric future.
Required Skills
DevOps Engineer Senior Email Security Engineer