Senior Starburst Data Engineer — Spark & ETL

LTM

Jersey City (NJ)

On-site

USD 110,000 - 160,000

Full time

12 days ago

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Benefits offered by this job

Comprehensive Medical Plan
Short and Long-Term Disability
401(k) Plan with Company match
Life Insurance
Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking a Sr.Starburst Developer in Irving, TX to lead data virtualization and performance tuning efforts. You will work on Starburst infrastructure, optimize Spark workloads, and support multi-database ecosystems including Oracle, DB2, and SQL Server. Strong scripting and Agile collaboration are required.

Join LTIMindtree’s global tech team and contribute to infra improvements, automation, and CI/CD using Bitbucket, Jenkins, and Jira in a fast-paced environment.

Qualifications

  • 6+ years of experience with Starburst data virtualization and infra.
  • Experience implementing performance tuning in Spark.
  • Knowledge of databases such as Oracle, DB2, and SQL Server.
  • Experience with cluster-level configuration and supporting high‑level environments.
  • Experience with multi-database ecosystem components like NoSQL databases.

Responsibilities

  • Develop and optimize Starburst and data infra components.
  • Tune Spark performance for large data workloads.
  • Contribute to shell scripting and automation tasks.
  • Collaborate in an Agile development environment.
  • Work with Bitbucket, Jenkins and Jira for CI/CD.

Skills

Starburst virtualization
Spark performance tuning
Multi-database ecosystem
Shell scripting
Agile process

Tools

Bitbucket
Jenkins
Jira

Job description

LTIMindtree is seeking a Sr.Starburst Developer in Irving, TX to lead data virtualization and performance tuning efforts. You will work on Starburst infrastructure, optimize Spark workloads, and support multi-database ecosystems including Oracle, DB2, and SQL Server. Strong scripting and Agile collaboration are required.

Join LTIMindtree’s global tech team and contribute to infra improvements, automation, and CI/CD using Bitbucket, Jenkins, and Jira in a fast-paced environment.

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