Remote Hive Data Engineer: Flexible Hours

BairesDev

Mexico

On-site

PHP 6,691,000 - 9,124,000

Full time

13 days ago

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Benefits offered by this job

Remote work
Competitive USD salary
Home office setup
Flexible hours
Parental leave & holidays
Global, multicultural team
Mentorship & growth opportunities

Job summary

BairesDev is hiring a Software Engineer specializing in Apache Hive to design and manage SQL-based data warehouse solutions on Hadoop. You will optimize Hive queries, manage data partitioning, and ensure enterprise-scale data integrity.

Join a 100% remote, globally distributed team. The role emphasizes performance tuning, large-scale data processing, and collaboration with data teams to translate business requirements into efficient SQL transformations.

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.

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.

Skills

SQL-based data warehouse
Data engineering
English proficiency

Tools

Apache Hive
HiveQL
Hadoop

Job description

BairesDev is hiring a Software Engineer specializing in Apache Hive to design and manage SQL-based data warehouse solutions on Hadoop. You will optimize Hive queries, manage data partitioning, and ensure enterprise-scale data integrity.

Join a 100% remote, globally distributed team. The role emphasizes performance tuning, large-scale data processing, and collaboration with data teams to translate business requirements into efficient SQL transformations.

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