DataStage ETL Specialist: High-Volume Data & Quality

Machine Intelligence Technologies, LLC

Plano (TX)

On-site

USD 85,000 - 120,000

Full time

8 hours ago
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Job summary

MACHINE INTELLIGENCE TECHNOLOGIES LLC is seeking a data integration specialist to develop and implement IBM DataStage solutions, bridging data across systems and environments. You will collaborate with cross-functional teams to ensure on-time delivery, optimize ETL workflows for data quality and performance, and maintain batch jobs across all environments through releases.

Proficiency in shell scripting and SQL, plus experience with monitoring tools like Splunk, will help you drive reliable data

Qualifications

  • Experience with data integration and ETL development using IBM DataStage.
  • Strong knowledge of data quality, business rules validation, and high-volume data loads.
  • Ability to troubleshoot, operate, test, plan and configure in relevant technologies.
  • Experience setting up new jobs from configuration requests.
  • Proficiency in shell scripting and SQL; familiarity with monitoring tools like Splunk.

Responsibilities

  • Develop and implement data integration solutions using IBM DataStage.
  • Collaborate with cross-functional teams to ensure successful application delivery.
  • Optimize ETL processes to enhance data quality and performance.
  • Troubleshoot and resolve issues related to data integration and application functionality.
  • Maintain batch jobs and coordinate changes across environments as part of each release.
  • Work with project teams, QA/BA/SMEs and other groups to meet business and technical requirements.

Skills

Data integration
ETL development
Troubleshooting
Documentation
SQL
Shell scripting

Tools

IBM DataStage
Splunk

Job description

MACHINE INTELLIGENCE TECHNOLOGIES LLC is seeking a data integration specialist to develop and implement IBM DataStage solutions, bridging data across systems and environments. You will collaborate with cross-functional teams to ensure on-time delivery, optimize ETL workflows for data quality and performance, and maintain batch jobs across all environments through releases.

Proficiency in shell scripting and SQL, plus experience with monitoring tools like Splunk, will help you drive reliable data

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