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Data Engineer II

🏢 Hackerrank · 📍 Hybrid in Bangalore, India · 💼 hybrid
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Position Summary & Responsibilities

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.

Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.

People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.

About the role

HackerRank's data platform has just come through a major modernisation - moving from Redshift to StarRocks + Apache Hudi, and cutting export latencies from 25 seconds to under 5. The foundation is in place, and we're now building toward an AI-native data layer that will power features like natural language querying for HackerRank for Work customers.

As a Data Engineer II, you'll work within the data team to build and maintain pipelines, support in-product data features, and contribute to the datasets that power our AI initiatives. You'll work closely with senior engineers and the Lead Data Engineer, picking up well-scoped problems and growing into broader ownership over time.

What you will do

  • Build and maintain data pipelines on our stack - StarRocks (OLAP), Apache Hudi (Data Lake), Trino, and Spark - under guidance from senior team members.
  • Support in-product data features such as exports, insights dashboards, interview analytics, and the Custom Reports interface.
  • Help prepare clean, structured datasets that feed into AI-powered features like natural language querying.
  • Implement access controls and data security policies (e.g., Apache Ranger) as defined by senior engineers.
  • Respond to and help reduce ad-hoc data requests from internal teams (AI platform, analytics, go-to-market) by contributing to self-service pipelines.
  • Write clear documentation and participate in code/design reviews.
  • Troubleshoot data quality and pipeline issues, escalating architectural decisions to senior engineers.

Who you are<

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Key Role Focus:

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