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Become our next FutureStarter

Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you’ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary!

Azure Data Engineer- Product Data Analytics

Country/Region:  IN
Location: 

Pune, MH, IN, 410501

Req ID 78021 | Pune, India, ZF India Pvt. Ltd.

  

Job Description

About the team


ZF Aftermarket is a EUR 3 billion powerhouse with a combined team of about 8,000 employees. We have a total of 120 locations in 40 countries worldwide – including 90 logistics centers – and more than 650 service partners with a strong presence in both automotive and industrial markets. This makes us the second largest aftermarket organization worldwide.

 

What you can look forward to as Azure Data Engineer

  • End-to-End Ownership: Lead and drive analytics initiatives, ensuring high-quality deliverables with minimal oversight
  • Structured Software Development: Apply engineering best practices, including CI/CD, version control, testing, and code reviews, to ensure robust, maintainable, and scalable solutions
  • Design, implement, and scale reliable and efficient data models and pipelines in Databricks, Azure Cloud, and other relevant platforms to support analytics and AI initiatives
  • Lead AI & ML initiatives, according to AI & automation roadmap of analytics team
  • Data Modeling & Optimization: Develop efficient data models, ensuring high performance for analytical workloads and business intelligence applications
  • Ensure seamless integration of data products with BI tools, APIs, and other business applications, providing structured, well-documented, and high-quality datasets

 

Your profile as Azure Data Engineer

  • Degree in computer science, math or engineering with emphasis on machine learning / analytics or equivalent in experience
  • 5-11 years of experience in Azure Data engineering, Analytics or AI/ML integration
  • Strong experience in Python, R and Spark (Pyspark is desirable)
  • Deployment of ML models in production & Industry experience in agile development and DevOps Databases (ex. Oracle, AWS S3)
  • Big Data Platforms (ex. Databricks, GCP, Cloudera) & Soft skills include working well in teams dealing with uncertainty and ambiguity, flexibility
  • Deep understanding of structured software development practices (version control, CI/CD, testing) & Excellent problem-solving skills and ability to work independently on complex projects

 

Why you should choose ZF in India

  • Innovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth.
  • Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support.
  • Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement.
  • Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide.
  • Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint.
  • Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. 

 

Be part of our ZF team as Azure Data Engineer- Product Data Analytics and apply now!

Contact

Veerabrahmam Darukumalli

What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company?

At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility.

Find out how we work at ZF:


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