Added
14 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws sql python spark trino

๐Ÿ“‹ Description

  • Build and maintain data pipelines on our stack - StarRocks (OLAP), Apache Hudi (Data Lake), Trino
  • Support in-product data features such as exports, insights dashboards, interview analytics, and
  • Help prepare clean, structured datasets for AI-powered features like natural language querying
  • Implement access controls and data security policies (e.g., Apache Ranger)
  • Respond to ad-hoc data requests and contribute to self-service pipelines
  • Write clear documentation and participate in code/design reviews

๐ŸŽฏ Requirements

  • 2-4 years of data engineering experience
  • Working knowledge of at least one OLAP database (StarRocks, ClickHouse, Druid, or similar)
  • Experience with data lake tech (Hudi, Iceberg, or Delta Lake) or willingness to learn
  • Familiarity with distributed query engines (Trino/Presto) and Spark, or strong SQL/Python
  • Basic understanding of data security and access control concepts
  • Comfortable in an AWS + open-source environment, or quick to ramp up

๐ŸŽ Benefits

  • Opportunity to work on modern, production-grade data stack
  • Mentorship from senior engineers and clear growth path
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