Senior Java & Hive Engineer — Remote, Scale Data Engines
BairesDev
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Benefits offered by this job
Job summary
BairesDev is seeking a Senior Java & Hive Engineer to design and build high-performance distributed query engine components for large-scale data processing. You will drive architectural improvements, optimize query performance, and mentor engineers while working in a 100% remote, globally distributed team.
English fluency is required; compensation is offered in USD or local currency. Join a collaborative environment with growth opportunities, mentorship, and exposure to cutting-edge data
Qualifications
- 5+ years of experience in Software Engineering, Database Development, or a related field.
- Proven expertise in Java and Apache Hive.
- Strong hands-on experience with database internals, SQL query processing, and query optimization using Apache Calcite.
- Demonstrated experience designing distributed query engine components and driving architectural improvements.
- Advanced proficiency in English.
Responsibilities
- Lead the design and development of distributed query engine components to support massive data workloads.
- Optimize SQL query processing and execution plans to minimize latency and resource consumption.
- Implement deep performance enhancements within database internals and distributed systems.
- Drive architectural standards for scalability, reliability, and technical alignment across engineering teams.
- Mentor junior and mid-level engineers, fostering technical excellence and best practices in distributed computing.
Skills
Tools
Job description
BairesDev is seeking a Senior Java & Hive Engineer to design and build high-performance distributed query engine components for large-scale data processing. You will drive architectural improvements, optimize query performance, and mentor engineers while working in a 100% remote, globally distributed team.
English fluency is required; compensation is offered in USD or local currency. Join a collaborative environment with growth opportunities, mentorship, and exposure to cutting-edge data
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