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ETL Dataware house developer
Job Location:
Job Location:
Farmington, NM - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
14 July 2026 (30+ days ago)
Posted:
Application Deadline:
11 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Responsibilities and Technical Skills
Develop enhance and optimize ETL pipelines using IBM DataStage
including parallel and server jobs job sequencing and performance tuning.
Support the migration of on-premise DataStage jobs to IBM Cloud Pak for
Data (CP4D) including code refactoring testing validation and workflow
modernization.
Use Python and XML to automate processes perform data transformations
and integrate automation into ETL workflows.
Work extensively in Linux/Unix environments to write shell scripts manage
file systems monitor processes and troubleshoot runtime issues.
Apply Master Data Management (MDM) principles to ensure data quality
governance and consistency across enterprise systems.
Develop complex SQL queries for data extraction transformation validation
and performance improvement across relational database platforms.
Work within Agile teams to support sprint activities deployments
documentation and continuous improvement practices.
Collaborate with data architects analysts DBAs and business users to
ensure successful and accurate delivery of data solutions.
Troubleshoot ETL issues perform root-cause analysis recommend
improvements and ensure adherence to data standards and security policies.
Required Skills
5 years of experience ETL (IBM DataStage) - Required
1 years of exposure to Cloud Pak for data - Required
5 years of experience with Unix/Linux
3 years of experience with Master Data Management
Desired Skills
Previous Government experience
Develop enhance and optimize ETL pipelines using IBM DataStage
including parallel and server jobs job sequencing and performance tuning.
Support the migration of on-premise DataStage jobs to IBM Cloud Pak for
Data (CP4D) including code refactoring testing validation and workflow
modernization.
Use Python and XML to automate processes perform data transformations
and integrate automation into ETL workflows.
Work extensively in Linux/Unix environments to write shell scripts manage
file systems monitor processes and troubleshoot runtime issues.
Apply Master Data Management (MDM) principles to ensure data quality
governance and consistency across enterprise systems.
Develop complex SQL queries for data extraction transformation validation
and performance improvement across relational database platforms.
Work within Agile teams to support sprint activities deployments
documentation and continuous improvement practices.
Collaborate with data architects analysts DBAs and business users to
ensure successful and accurate delivery of data solutions.
Troubleshoot ETL issues perform root-cause analysis recommend
improvements and ensure adherence to data standards and security policies.
Required Skills
5 years of experience ETL (IBM DataStage) - Required
1 years of exposure to Cloud Pak for data - Required
5 years of experience with Unix/Linux
3 years of experience with Master Data Management
Desired Skills
Previous Government experience
Required Skills:
DatastageIBM CloudPythonXMLUnixLinuxMDM
