




Summary: As a Software Engineer specializing in Apache Hive, you will build and manage SQL-based data warehouse solutions on Hadoop, focusing on optimizing query performance and managing large-scale data partitioning. Highlights: 1. Design and develop robust data warehouse solutions using Apache Hive and HiveQL 2. Optimize Hive queries to improve performance and resource utilization 3. Collaborate with data teams to translate complex business requirements At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting\-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000\+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. As a Software Engineer specializing in Apache Hive, you will build and manage SQL\-based data warehouse solutions on Hadoop. You will focus on optimizing query performance and managing large\-scale data partitioning to ensure efficient analytics at a petabyte scale. What You'll Do: * 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. What we are looking for: * 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. How we do make your work (and your life) easier: * 100% remote work (from anywhere). * Excellent compensation in USD or your local currency if preferred * Hardware and software setup for you to work from home. * Flexible hours: create your own schedule. * Paid parental leaves, vacations, and national holidays. * Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. * Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact! Apply now!


