Enterprise Data Integration Solutions Specialist

3 days ago

Hyderabad Secunderabad Telangana, India beBeeDataIntegration Full time
Enterprise Data Integration Specialist

We are seeking a skilled professional to spearhead our enterprise data integration efforts. As an Enterprise Data Integration Specialist, you will be responsible for designing, developing, and maintaining our data integration solutions.

Key Responsibilities:
  • Platform Administration & Management: Install, configure, upgrade, and maintain components of the IBM InfoSphere Information Server suite.
  • ETL Development: Design, develop, and implement complex ETL jobs using IBM DataStage to integrate data from various source systems 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.
  • Documentation: Create and maintain comprehensive documentation for Information Server jobs, ETL processes, data quality rules, metadata, and design specifications.

Requirements:

  • IBM Information Server Expertise: Strong hands-on experience in developing, deploying, and administering solutions using IBM InfoSphere Information Server.
  • 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.
  • Problem-Solving: Excellent analytical and problem-solving skills with a methodical approach to complex data integration challenges.
  • Communication: Strong verbal and written communication skills to articulate technical concepts and collaborate effectively with diverse teams.

Preferred Candidate Profile:

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

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