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Abinitio Extract Transfer Load Jobs in Michigan (NOW HIRING)

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premises ...

Qualifications Skills/Experience Required: ETL , Informatica Additional Information Role: Technical Consultant (Intermediate/Advanced) Location: Auburn Hills, MI Job Status: Contract (onsite) Start ...

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 ...

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica Intelligent Cloud Services) and AWS services (Lambda, Glue, Redshift, Bedrock, and SageMaker). Working ...

Data Analyst

Brooklyn, MI · On-site

$80/hr

Brooklyn, NY 11201 The Senior Data Analyst with ETL Expertise shall provide Client Data Management team with technical expertise for the completion of Data Profiling/Cleansing, Conversion/Migration ...

New

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with updating the enterprise standards when ...

Design and architect Extract, Transfer and Load (ETL) strategies needed to support required staging, warehouse, or data marts. Develop detailed implementation plans estimating duration and ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. Responsibilities: * Participates in the ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Prior experience with ETL tools like DataStage or Informatica. Responsibilities: * The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.

Roles & Responsibilities: - Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks. - Collaborate with Cloud Pak services to architect and deploy data solutions ...

The ideal candidate will possess a strong understanding of data architecture, extensive GCP experience, and proficiency in SQL, Python, ETL/ELT tools, and BI tools. This role will collaborate closely ...

Showing results 21-40

Abinitio Extract Transfer Load information

What is the difference between Abinitio Extract Transfer Load vs Abinitio Data Analyst?

AspectAbinitio Extract Transfer LoadAbinitio Data Analyst
Primary RoleDesigning and developing data integration workflows using Abinitio toolsAnalyzing data to provide insights and support decision-making
Required SkillsProficiency in Abinitio ETL tools, SQL, data modelingData analysis, SQL, reporting, and visualization skills
Work EnvironmentData engineering teams, IT departments, focus on data pipelinesBusiness intelligence teams, analytics departments, focus on data insights

While Abinitio Extract Transfer Load specialists focus on building and maintaining data workflows, Abinitio Data Analysts interpret data to generate reports and insights. Both roles require strong SQL skills, but their core responsibilities differ in data engineering versus data analysis.

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Data Warehouse Architect 3

HireITPeople

Lansing, MI • On-site

Contractor

Posted 29 days ago


Job description

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies.

This role supports both on-premises and cloud environments, contributes to enterprise data modernization efforts, and plays a key role in migrating DataStage workloads to IBM Cloud Pak for Data (CP4D). The developer will collaborate with technical and business teams to deliver reliable, scalable, and secure data pipelines aligned with organizational objectives.

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-premises 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.

Top Skills & Years of Experience:

- 5+ years of experience with 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.