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Ibm Datastage Jobs in Georgia (NOW HIRING)

IT America Inc

DataStage Developer

Atlanta, GA · On-site

Design, develop, and deploy scalable ETL pipelines using IBM DataStage * Monitor, troubleshoot, and resolve issues in existing data pipelines * Write and optimize complex SQL queries for data ...

Teamware Solutions Inc

DataStage Admin

Atlanta, GA · On-site

Install, configure, and upgrade IBM DataStage environments. o Manage DataStage projects, including creating, deleting, and configuring them. o Assign project roles and permissions to users. Monitor ...

krg technology inc

Datastage developer

Columbus, GA · On-site

Working knowledge of IBM DataStage, Quality Stage and IBM InfoSphere Governance Catalog Qualifications looking for a solid Datastage Developer with excellent experience in Business Analysis

ProArch

Sr Backend Engineer

Atlanta, GA

Good experience in a COTS products (such as COGNOS, CRM, IVR, Oracle E-Business Suite, IBM DataStage, IBM Watson Analytics, Salesforce, PEGA, MuleSoft, Document Management Tools (FileNet, SharePoint ...

ProArch

Sr Backend Engineer

Atlanta, GA · On-site +1

Good experience in a COTS products (such as COGNOS, CRM, IVR, Oracle E-Business Suite, IBM DataStage, IBM Watson Analytics, Salesforce, PEGA, MuleSoft, Document Management Tools (FileNet, SharePoint ...

FHR

A-82-Scala Developer 66129

Atlanta, GA · On-site

$51 - $66/hr

... IBM DataStage. · Familiarity with AWS infrastructure supporting Cloudera. · Experience with Agile, Jira, and Confluence. Skills Architecture Cloudera Data Advanced (7-9 Years) Yes Skills Others ...

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Ibm Datastage information

What is an IBM DataStage?

An IBM DataStage job is a data integration workflow that extracts, transforms, and loads (ETL) data from various sources into a target system. It consists of stages representing data processing steps, such as extraction, transformation, and loading, connected by data flow links. Jobs can be designed using the IBM DataStage Designer, scheduled for execution, and monitored through the IBM DataStage Director. These jobs help businesses manage large volumes of data efficiently in data warehouses or other repositories.

Is IBM DataStage easy to learn?

IBM DataStage is a data integration tool used in ETL processes, and learning it requires understanding of data warehousing concepts and basic scripting. While it offers a user-friendly graphical interface, mastering advanced features and workflows can take time, especially for beginners without prior experience in data management or related tools. Certification programs and training resources are available to facilitate learning.

What are the key skills and qualifications needed to thrive as an IBM DataStage professional?

To thrive as an IBM DataStage professional, you need expertise in ETL processes, relational databases, and a strong understanding of data warehousing concepts, often supported by a relevant degree in computer science or information technology. Hands-on experience with IBM DataStage, SQL programming, and knowledge of supporting platforms such as UNIX/Linux are typically required, with IBM DataStage certification considered a plus. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with cross-functional teams and troubleshoot complex data integration issues. Mastery of these skills ensures the delivery of reliable and efficient data solutions that drive business intelligence and decision-making.

What is IBM DataStage used for?

IBM DataStage is an ETL (Extract, Transform, Load) tool used by data integration professionals to design, develop, and manage data workflows for extracting data from various sources, transforming it to meet business needs, and loading it into target systems such as data warehouses. It supports large-scale data processing and integrates with other IBM data management tools, making it essential for data engineers and analysts working on data migration and analytics projects.

What are some common challenges faced by IBM DataStage professionals in a typical work environment?

IBM DataStage professionals often encounter challenges such as managing large volumes of data from diverse sources, optimizing ETL processes for performance, and ensuring data quality and integrity throughout the integration lifecycle. They may also need to troubleshoot unexpected errors or integration failures, which requires a thorough understanding of both the tool and underlying data structures. Collaboration with business analysts, database administrators, and other IT teams is frequent, demanding excellent communication and coordination skills. Adapting quickly to new business requirements and evolving technologies also plays a key role in long-term success and career advancement in this field.

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Ibm Datastage jobs near you
Infographic showing various Ibm Datastage job openings in Georgia as of August 2026, with employment types broken down into 51% Full Time, 43% Part Time, 1% Temporary, and 5% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

DataStage Developer

IT America Inc

Atlanta, GA • On-site

Contractor

Re-posted 10 days ago

Job description

Position: DataStage Developer

Location: Atlanta, GA / Nashville, TN

Duration: Long term contract

Note: Looking for Permanent / Visa independent consultants

We are looking for an experienced Senior Data Engineer to design and build robust ETL pipelines while ensuring the reliability and performance of our existing data infrastructure.

Key Responsibilities:

  • Design, develop, and deploy scalable ETL pipelines using IBM DataStage
  • Monitor, troubleshoot, and resolve issues in existing data pipelines
  • Write and optimize complex SQL queries for data transformation and processing
  • Collaborate with stakeholders to translate data requirements into technical solutions
  • Document pipeline designs and contribute to engineering best practices

Required Skills & Qualifications:

  • 5+ years of experience in data engineering
  • Strong hands-on expertise with IBM DataStage
  • Advanced SQL skills, including query optimization and performance tuning
  • Solid understanding of data warehousing concepts
  • Experience monitoring and troubleshooting production data pipelines

Nice to Have:

  • Cloud platform experience (AWS, Azure, or GCP)
  • Familiarity with orchestration tools like Apache Airflow
  • Python or scripting experience