JD-Job Summary
We are seeking an experienced IBM Data Stage Developer to design, develop, enhance, and support enterprise-grade ETL solutions. The ideal candidate should have solid expertise in IBM Data Stage, Oracle databases, Linux/Unix environments, and data warehousing concepts. The role involves developing scalable ETL processes, troubleshooting production issues, optimizing batch jobs, and collaborating with business and data teams to deliver high-quality data integration solutions.
Key Responsibilities

- Design, develop, test, and deploy ETL solutions using IBM Data Stage.
- Create and maintain Parallel Jobs, Sequence Jobs, Shared Containers, and reusable components.
- Develop source-to-target mappings and implement complex data transformation logic.
- Build and optimize ETL pipelines for high-volume data processing.
- Integrate data from multiple sources including Oracle, SQL Server, flat files, APIs, and cloud storage.
- Perform data validation, reconciliation, and quality checks.
- Monitor daily batch processes and troubleshoot ETL job failures.
- Analyze Data Stage Director logs and identify root causes of production issues.
- Develop and maintain shell scripts for orchestration, automation, and file processing.
- Work with scheduling tools such as Control-M, Autosys, Airflow, or cron.
- Support deployment activities across DEV, UAT, and PROD environments.
- Collaborate with business analysts, data architects, DBAs, and reporting teams.
- Participate in on-call support and incident management activities.
- Prepare technical documentation, runbooks, and knowledge transfer materials.





Required Skills
ETL & Data Integration

- IBM Data Stage (PX/Parallel Extender)
- Sequential Files, Dataset Stages
- Transformer, Lookup, Join, Merge, Sort, Aggregator Stages
- Sequence Jobs and Job Sequencers
- Shared Containers and Parameter Sets
- Data Stage Director and Administrator

Databases

- Oracle (Preferred)
- SQL Server
- Advanced SQL and PL/SQL
- Performance tuning and query optimization

Operating Systems

- Linux / Unix
- Shell Scripting (Bash/Korn Shell)

Data Warehousing

- Data Warehouse Concepts
- ETL Design Patterns
- Data Modeling (Star/Snowflake Schema)
- Data Migration and Data Quality Frameworks

Scheduling & Monitoring

- Control-M / Autosys / Airflow / Cron
- Batch monitoring and job dependency management

Version Control

- Git / Git Hub / Bitbucket

Preferred Skills

- Experience with Talend, Informatica, or other ETL tools.
- Knowledge of AWS services such as S3, Glue, EMR, and Redshift.
- Experience working with Media, AdTech, Analytics, or Reporting platforms.
- Exposure to Micro Strategy, Power BI, or Tableau.
- Understanding of CI/CD pipelines and Dev Ops practices.

Qualifications

- Bachelor's degree in Computer Science, Information Technology, or related field.
- IBM Data Stage certification is a plus.

Desired Competencies

- Strong analytical and troubleshooting skills.
- Excellent communication and stakeholder management.
- Ability to work independently in production support and enhancement projects.
- Experience working in Agile/Scrum environments.
- Strong documentation and knowledge-sharing practices.

📌 IBM DataStage Developer (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru