Data Engineer-Customer Analytics AIML

BMW TechWorks India • Artificial Intelligence • Information Technology • Python • SQL • 4 days ago
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Salary
≈ $16k – $44k per year (Estimated)
Location
In office (Pune)

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match

BMW TechWorks India

BMW TechWorks India is a software and engineering joint venture of BMW Group and Tata Technologies, headquartered in Pune, that develops automotive software, enterprise IT and digital product engineering for BMW worldwide. It works in three areas, the digital car, the digital company and digital product engineering, covering in-vehicle software, ADAS, edge AI for onboard inference, SAP and PLM systems, and vehicle design and simulation, from offices in Pune, Bengaluru and Chennai. It hires embedded and automotive software developers, ADAS and AI engineers, CAD, CFD and multibody simulation engineers, test engineers and vehicle integration leads.
bmwtechworks.in • HQ: Pune, India • Embedded Software & RTOS • Engineering Services • Automotive Software • Autonomous Driving • 1001-5000 employees
Tech stack of BMW TechWorks India

What awaits you/ Job Profile

  • Analyze, Organize data and Build data systems with multiple data sources
  • ·Working closely with Stakeholders and Cross functional teams for the Data analysis.

What should you bring along

  • Build data systems and pipelines
  • Standardize the data assets which maximize data reusability
  • Evaluate business needs and objectives
  • Implementing data pipeline to ingest and cleanse raw data from various source systems including SaaS, Cloud based and On-prep databases
  • Conduct complex data analysis and report on results
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Implementing functional requirements including incremental loads, data snapshots and identity resolution
  • Optimizing data pipelines to improve performance and cost, while ensuring a high quality of data within the data lake:
  • Monitoring services and jobs for cost and performance, ensuring continual operations of data pipelines, and fixing of defects.
  • Constantly looking for opportunities to optimize data pipelines to improve performance.

Must have technical skill

  • ·Must have coding skills in Spark/Pyspark, Python and SQL
  • ·Must have Knowledge of AWS tools, Glue, Athena ,step functions and S3

Good to have technical skills

  • Good knowledge of CI/CD (Github / Github Actions, Terraform)
  • Knowledge on Agile methodologies.
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