Role : DataStage Senior Developer
Duration : Long Term Contact
Location : Cincinnati, OH Hybrid
Job Summary
We are seeking a highly skilled DataStage Senior Developer with 5+ years of experience in designing, developing, and supporting enterprise data integration and ETL solutions using IBM InfoSphere DataStage. The ideal candidate will have strong expertise in data warehousing, ETL development, database technologies, and performance optimization. The individual will work closely with business stakeholders, data architects, and development teams to deliver high-quality data solutions.
Key Responsibilities
Design, develop, test, and deploy ETL processes using IBM InfoSphere DataStage.
Analyze business requirements and translate them into technical ETL solutions.
Develop and maintain DataStage jobs, sequences, shared containers, and reusable components.
Perform data extraction, transformation, and loading (ETL) from multiple source systems to data warehouses and data marts.
Optimize DataStage jobs for performance, scalability, and reliability.
Monitor ETL workflows and troubleshoot production issues.
Conduct data validation, reconciliation, and quality checks.
Work with database teams to design and implement efficient data models.
Create and maintain technical documentation, mapping documents, and deployment procedures.
Participate in code reviews and ensure adherence to development standards and best practices.
Support production releases, incident management, and root cause analysis.
Collaborate with cross-functional teams including Business Analysts, Architects, QA teams, and Support teams.
Required Technical Skills
ETL & Data Integration
IBM InfoSphere DataStage (PX/Parallel Jobs, Server Jobs, Sequences)
DataStage Designer, Director, Administrator
DataStage Parallel Extender (PX)
Job sequencing and workflow management
DataStage performance tuning and optimization
Databases
Oracle
SQL Server
PostgreSQL
Snowflake (preferred)
Programming & Scripting
SQL and Advanced SQL Queries
UNIX/Linux Shell Scripting
Python (preferred)
Data Warehousing
Data Warehouse concepts
Dimensional Modeling (Star Schema, Snowflake Schema)
Fact and Dimension tables
Data Migration and Data Conversion
Tools & Technologies
Control-M or Autosys
Git, SVN, or other version control tools
JIRA or Agile project management tools
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
5+ years of hands-on experience with IBM InfoSphere DataStage development.
Strong knowledge of ETL methodologies and data integration best practices.
Experience working with large-volume data processing environments.
Strong SQL and database development skills.
Experience in production support and issue resolution.
Understanding of Software Development Life Cycle (SDLC) and Agile methodologies.
Preferred Qualifications
IBM DataStage Certification.
Experience with Cloud Data Platforms such as AWS, Azure, or Snowflake.
Knowledge of Data Governance and Data Quality frameworks.
Experience with Big Data technologies (Hadoop, Spark) is a plus.
Key Competencies
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management skills.
Ability to work independently and lead ETL development activities.
Attention to detail and commitment to data quality.
Strong teamwork and collaboration abilities.
Nice-to-Have Skills
Snowflake Data Warehouse
Informatica or Talend ETL tools
AWS
Databricks
Kafka or real-time data integration technologies
CI/CD pipeline implementation for ETL deployments
