DataStage Developer (2 To 3 Years)

Infosys

Dadri, Chennai District, Bengaluru

Hybrid

INR 600,000 - 1,000,000

Full time

14 days+
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Job summary

Infosys is seeking an IBM DataStage Developer with 2-3 years of ETL experience for PAN India operations. The role centers on designing, developing, and maintaining DataStage ETL jobs and workflows to support BI and analytics initiatives.

Responsibilities include optimizing data pipelines, data cleansing, and ensuring data quality while collaborating with DBAs, analysts, and architects. Unix/Linux scripting and Git proficiency are valued.

Qualifications

  • 23 years of hands-on experience in IBM InfoSphere DataStage development.
  • Strong experience in ETL design and data integration.
  • Proficiency in SQL and database concepts.
  • Experience with relational databases such as Oracle, SQL Server, DB2, PostgreSQL, or MySQL.
  • Knowledge of DataStage components including Designer, Director, Administrator, Manager, Parallel Jobs, Sequence Jobs.
  • Understanding of data warehousing concepts and dimensional modeling.
  • Experience in Unix/Linux commands and shell scripting.
  • Knowledge of Git for source control.
  • Strong analytical and troubleshooting skills.

Responsibilities

  • Design, develop, test, and deploy ETL jobs using IBM InfoSphere DataStage.
  • Develop and maintain data integration workflows for loading data into data warehouses and marts.
  • Analyze business requirements and translate them into technical ETL solutions.
  • Implement data cleansing, validation, and transformation logic.
  • Optimize DataStage jobs for performance, scalability, and reliability.
  • Perform unit testing, integration testing, and support UAT activities.
  • Troubleshoot ETL job failures and resolve production issues.
  • Work closely with DBAs, business analysts, and data architects.
  • Maintain technical documentation and adhere to development standards.
  • Ensure data quality, integrity, and compliance with policies.

Skills

ETL design
Data integration
Data warehousing concepts
Unix/Linux commands
Shell scripting
Git

Tools

IBM InfoSphere DataStage
Oracle
SQL Server
DB2
PostgreSQL
MySQL

Job description

Job Title: DataStage Developer
Experience: 2-3 Years
Location: PAN India
Employment Type: Full-Time

Job Summary

We are seeking a talented IBM DataStage Developer with 23 years of experience in ETL development, data integration, and data warehousing projects. The ideal candidate should possess strong expertise in IBM InfoSphere DataStage, SQL, and database technologies, with the ability to design, develop, and maintain scalable ETL solutions that support business intelligence and analytics initiatives.

Key Responsibilities
  • Design, develop, test, and deploy ETL jobs using IBM InfoSphere DataStage.
  • Develop and maintain data integration workflows for loading data from multiple source systems into data warehouses and data marts.
  • Analyze business requirements and translate them into technical ETL solutions.
  • Implement data cleansing, validation, and transformation logic.
  • Optimize DataStage jobs for performance, scalability, and reliability.
  • Perform unit testing, integration testing, and support UAT activities.
  • Troubleshoot ETL job failures and resolve production issues.
  • Work closely with database administrators, business analysts, and data architects.
  • Maintain technical documentation and adhere to development standards.
  • Ensure data quality, integrity, and compliance with organizational policies.
Required Skills
  • 23 years of hands‑on experience in IBM InfoSphere DataStage development.
  • Strong experience in ETL design and development.
  • Proficiency in SQL and database concepts.
  • Experience with relational databases such as Oracle, SQL Server, DB2, PostgreSQL, or MySQL.
  • Knowledge of DataStage components including:
    • Designer
    • Director
    • Administrator
    • Manager
    • Parallel Jobs
    • Sequence Jobs
  • Understanding of data warehousing concepts and dimensional modeling.
  • Experience in Unix/Linux commands and shell scripting.
  • Knowledge of source code management tools such as Git.
  • Strong analytical and troubleshooting skills.
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