Opportunity Description
Responsibilities
- Design and develop robust data warehouse solutions using Apache Hive and HiveQL.
- Optimize Hive queries and configurations to improve performance and resource utilization.
- Manage and maintain data partitioning and indexing strategies across large Hadoop clusters.
- Collaborate with data teams to translate complex business requirements into efficient SQL transformations.
- Ensure data integrity and availability within the Hive ecosystem at an enterprise scale.
- 4+ years of experience in Software Engineering, Data Engineering, or Big Data.
- Proven expertise in building SQL-based data warehouse solutions using Apache Hive.
- Proficiency in writing and optimizing HiveQL queries for large-scale data processing.
- Hands‑on experience managing data partitioning and performance on Hadoop clusters.
- Advanced proficiency in English.
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