Cloud & Data Infrastructure Engineer Hinduja Tech Limited

About Hinduja Tech Limited

Hinduja Tech is an integrated provider of Product Engineering and Digital Technologies for the automotive industry. Hinduja Tech, headquartered in Chennai, is recognised for its Frugal Engineering approach to delivering award-winning vehicle programmes for emerging markets by compressing the barriers of cost, quality, and time. Hinduja Tech is a subsidiary of the more than 100-year-old global conglomerate Hinduja Group (www.hindujagroup.com). We have decades of automotive product development expertise in our DNA, and we provide complete vehicle and powertrain development services from concept to SOP. Hinduja Tech has pioneered the automotive product co-development for emerging economies using its unique paradigm EngiNEAR with a strong emphasis on "zero-based design to cost process" and our engineering teams have rapidly delivered several award-winning vehicle programmes to its OEM clients in the emerging economies at reasonable prices. Our 40+ Fortune 100 clients include Global OEMs and Tier 1, 2 Suppliers in Asia, Europe, the United Kingdom, and the United States. Hinduja Tech offers digitalization and digital solutions through the automotive product development and manufacturing processes to analyse data for revealing useful patterns and insights for better decision making, such as controlling warranty costs or enhancing product reliability, by leveraging its domain expertise and understanding of technologies. In addition, Hinduja Tech assists automotive companies in automating their enterprise and supply chain using the SAP solution suite.

Job Description

Location- Pune (WFO)
Budget- 3-5 Years upto 15 LPA and 5-7 Years upto 22 LPA
Experience- 3-7 Years
Relevant experience- 3 years is needed
Skills needed- Azure Infrastructure Foundation, Azure IoT, Python, Kubernetes, Azure Devops
Notice period- Immediate-30 days
Interview process- 2-3 technical rounds

Cloud & Data Infrastructure Engineer- JD:
- Azure Infrastructure Foundation
- Azure Event Hub
- Azure IoT Hub
- Azure Stream Analytics
- Azure Data Lake Services
- Python/Pyspark/Data Bricks
- Kubernetes
- Azure DevOps