Data Engineer (ETL / PySpark / Delta Lake) / Automotive Domain-3

Job Type: Contract

Job Category: IT

Job Description

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).

Manufacturing / Automotive industry experience, especially warranty systems.
Hands-on working in Agile methodology.

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.

MS/MTech/BTech in CS, EE, Mechanical, or related engineering fields.

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