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.

Qualifications

• 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.