IBM Information Server

IBM Information Server Specialist

Roles and Responsibilities:

• Platform Administration & Management:

  Install, configure, upgrade, and maintain components of the

  IBM InfoSphere Information Server

  suite, including DataStage, QualityStage, Information Analyzer, and Business Glossary.

• ETL Development:

  Design, develop, and implement complex ETL (Extract, Transform, Load) jobs using

  IBM DataStage

  to integrate data from various source systems (databases, flat files, APIs) into target data warehouses, data marts, or other applications.

• Data Quality Implementation:

  Utilize

  IBM QualityStage

  to design and implement data quality rules, data cleansing, standardization, matching, and de-duplication processes.

• Data Profiling & Analysis:

  Perform data profiling and analysis using

  IBM Information Analyzer

  to understand data structures, identify data quality issues, and support data governance initiatives.

• Metadata Management:

  Work with

  IBM Business Glossary

  and Metadata Workbench to manage metadata, define business terms, and ensure data lineage.

• Performance Tuning:

  Monitor the performance of Information Server jobs and components, identify bottlenecks, and implement optimization strategies for efficient data processing.

• Troubleshooting:

  Perform in-depth troubleshooting, debugging, and issue resolution for complex problems within the IBM Information Server environment, including job failures, performance degradation, and connectivity issues.

• Documentation:

  Create and maintain comprehensive documentation for Information Server jobs, ETL processes, data quality rules, metadata, and design specifications.

• Collaboration:

  Work closely with data architects, database administrators, business analysts, and other development teams to ensure seamless data integration and successful project delivery.

Preferred Candidate Profile:

• IBM Information Server Expertise:

  Strong hands-on experience in developing, deploying, and administering solutions using

  IBM InfoSphere Information Server

  , with significant focus on

  DataStage

  .

• SQL Proficiency:

  Excellent proficiency in

  SQL

  for data extraction, manipulation, and analysis across various database platforms.

• Data Warehousing Concepts:

  Solid understanding of data warehousing concepts, dimensional modeling, and various ETL methodologies.

• Data Quality & Governance:

  Familiarity with data quality dimensions and data governance principles.

• Problem-Solving:

  Excellent analytical and problem-solving skills with a methodical approach to complex data integration and quality challenges.

• Communication:

  Strong verbal and written communication skills to articulate technical concepts and collaborate effectively with diverse teams.

• Education:

  Bachelor's degree in Computer Science, Information Technology, or a related technical field.