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. Benefits 100% remote work (from anywhere). Excellent compensation in USD or local currency if preferred. Hardware and software setup for working from home. Flexible hours: create your own schedule. Paid parental leave, vacations, and national holidays. Innovative and multicultural work environment with top talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. #J-18808-Ljbffr
Software Engineer (Apache Hive) - Remote Work | Ref#288521
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Publicado hace 24 días
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