Job Description
As a Hadoop & Spark Engineer on our Big Data Engineering team, you'll be stepping into a digital transformation function helping legacy processes catch up to modern technology. You'll bring B.Tech + MBA / BBA and roughly 4-7 years of experience, and you're comfortable with Data-driven Decision Making, Stakeholder Management, Change Management, Technology Roadmap Planning. Day to day, you'll be leaning on your knowledge of big data engineering to get things done, working out of Pune. Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up. The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines. Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones. The package includes group medical cover, performance-linked bonuses, and standard statutory benefits. Standard benefits include health insurance, provident fund contributions, and paid time off in line with company policy. This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on. In return, you'll get ₹13.3 - ₹17.4 LPA as a Contract employee. Interested candidates who meet the above criteria are encouraged to apply.