Greetings from IndusInd Bank! We are currently hiring for Lead Data Engineer Location- Mumbai Experience- 10 to 17 Yrs Role Details: Lead, design, and build a cloud-native data platform on Azure, with a strong focus on Azure
Looking for a Data Engineering professional to work on our Hadoop-based data warehouse, contributing to scalable and reliable big data solutions for analytics and business insights. You will be building, optimizing, and maintaining large data pipelines
Job Description About Us Masco Home Products India (MHPI) is a fully owned subsidiary of Masco Corporation , headquartered in Livonia, MI. The vision of MHPI is to be recognized as a world-class Global Business Services
Your Role: You will be a part of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other DataOps teams. This role involves hands-on
About us: We are a highly successful 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Businesses worldwide trust our expertise to protect their assets, relying
Greetings from TCS! TCS is hiring Data Engineer (Databricks with Azure) Location – Any Years of Experience – 4-15 years Job Description Role - Senior Data Engineer – Databricks Required Technical Skill Set Databricks, PySpark, Delta Lake, MLflow,
Role: Technical Lead – Data Analytics & Cloud Location: Office in Navi Mumbai, India Travel: Short Term Travel to London, UK Experience: 6-8 Years Remuneration & Designation: Commensurate with your experience NowVertical is a global, publicly
Greetings from IndusInd Bank! We are currently hiring for Lead Data Engineer Location- Mumbai Experience- 10 to 17 Yrs Role Details: Lead, design, and build a cloud-native data platform on Azure, with a strong focus on Azure
Job Location : Hyderabad Job Type : Full TIme Your Role: As the Data Engineering Lead, you will be a leader of the data engineering team working on in-house products in for Data Foundation Collaborating closely