DataStage ETL Developer – Data Integration & Quality

Cloud Analytics Technologies, LLC

Plano (TX)

Presencial

USD 90.000 - 130.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Cloud Analytics Technologies LLC is seeking a skilled ETL Developer to design and implement data integration solutions using IBM DataStage in Plano, TX. You will collaborate with cross‑functional teams to ensure reliable application delivery and optimize ETL processes for data quality and performance.

Responsibilities include maintaining batch jobs, troubleshooting data integration issues, and configuring environments across releases.

Formación

  • Experience developing and maintaining ETL processes with IBM DataStage.
  • Strong SQL skills and shell scripting ability.
  • Knowledge of data quality, mapping design, and performance tuning.

Responsabilidades

  • 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 data integration and application issues.
  • Maintain batch jobs and coordinate environment changes during releases.
  • Work with project teams to meet business and technical requirements.
  • Set up new jobs from configuration requests and perform ETL maintenance.
  • Identify system enhancements and automation opportunities.
  • Document procedures clearly and concisely.
  • Work in process automation using Shell Scripts and SQL.
  • Knowledge of Splunk and other monitoring tools.

Conocimientos

ETL
SQL
Shell scripting
Data quality
Performance tuning
High-Volume Data Loads

Herramientas

IBM DataStage
Splunk

Descripción del empleo

Cloud Analytics Technologies LLC is seeking a skilled ETL Developer to design and implement data integration solutions using IBM DataStage in Plano, TX. You will collaborate with cross‑functional teams to ensure reliable application delivery and optimize ETL processes for data quality and performance.

Responsibilities include maintaining batch jobs, troubleshooting data integration issues, and configuring environments across releases.

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