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High due to well-known employer, popular Data Engineer role, mid-level experience, and Bangalore metro location.
Low — core data engineering skills and tools are highly transferable across industries.
Medium due to explicit 2-4 years requirement plus specific data stack expectations without rigid certification demands.
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Build and maintain data pipelines using StarRocks, Apache Hudi, Trino, and Spark under senior guidance.
Support in-product data features like exports, dashboards, interview analytics, and Custom Reports.
Prepare clean datasets powering AI features, enforce data security policies, and reduce ad-hoc internal data requests.
2-4 years of data engineering experience.
Working knowledge of OLAP databases such as StarRocks, ClickHouse, or Druid.
Familiarity with data lake technologies like Apache Hudi, Iceberg, or Delta Lake.
Basic understanding of data security and access control concepts; comfortable with AWS and open-source environments.
Wants to grow skills on a modern, production-grade data stack and handle increasingly ambiguous problems.
Prefers clearly scoped tasks with close mentorship from senior engineers and is motivated by reliable engineering over strategy setting.
Interested in AI-adjacent data work and supporting non-technical data product features in a SaaS or B2B environment.