Remote Apache Impala Engineer for Big Data Analytics

BairesDev

Peru (IL)

On-site

USD 120,000 - 180,000

Full time

13 days ago

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Benefits offered by this job

100% remote
USD or local currency
Hardware and software setup for home
Flexible hours
Parental leaves
Diverse growth opportunities

Job summary

BairesDev is hiring a Software Engineer specializing in Apache Impala to lead the implementation and optimization of interactive SQL analytics on Hadoop platforms. You will focus on delivering high-performance query execution across petabyte-scale data environments, ensuring the Cloudera ecosystem operates at peak efficiency.

You will design, optimize, and tune Impala deployments, troubleshoot issues, and apply best practices for data partitioning and storage formats to enhance query speeds.

Qualifications

  • 4+ years in Software/Data Eng or Big Data infra.
  • Experience running interactive SQL analytics on Hadoop with Apache Impala.
  • Proficiency with Cloudera ecosystem and MPP SQL architectures.

Responsibilities

  • Design and maintain production-grade Apache Impala implementations for interactive analytics.
  • Optimize complex MPP SQL queries to achieve low-latency results on large-scale datasets.
  • Configure and tune Impala components within Hadoop clusters for stability and performance.
  • Troubleshoot distributed query execution issues and resolve performance bottlenecks.
  • Implement best practices for data partitioning and storage formats to speed up queries.

Skills

4+ years exp
English fluency
SQL analytics

Tools

Apache Impala
Cloudera
MPP SQL

Job description

BairesDev is hiring a Software Engineer specializing in Apache Impala to lead the implementation and optimization of interactive SQL analytics on Hadoop platforms. You will focus on delivering high-performance query execution across petabyte-scale data environments, ensuring the Cloudera ecosystem operates at peak efficiency.

You will design, optimize, and tune Impala deployments, troubleshoot issues, and apply best practices for data partitioning and storage formats to enhance query speeds.

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