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Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 12, 2026. IBM scores A on the Alion truth index.

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IBM

IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Data Specialist, this role focuses on supporting Data Managed Services through operational delivery. The Data Specialist ensures the stability, performance, and reliability of data pipelines, bringing practical operational awareness to diagnose and resolve runtime issues. Your primary responsibilities will include:

  • Data Pipeline Monitoring: Performing structured monitoring of data pipelines to ensure stability and performance.
  • Troubleshooting Issues: Diagnosing and resolving runtime issues within production environments through controlled remediation.
  • Operational Maintenance: Maintaining the ongoing operational continuity and reliability of the data ecosystem, complementing Data Engineers in their responsibilities.
  • Data Pipeline Knowledge: Exposure to data pipelines, including their stability, performance, and reliability, to perform structured monitoring and troubleshooting.
  • Operational Awareness: Experience working with modern data platforms and cloud ecosystems to diagnose and resolve runtime issues.
  • Troubleshooting Skills: Ability to perform controlled remediation within production environments to resolve issues.
  • Data Ecosystem Maintenance: Exposure to maintaining operational continuity and reliability of data ecosystems, complementing data engineers in their responsibilities.
  • Runtime Issue Resolution: Experience with diagnosing and resolving runtime issues without requiring advanced engineering ownership.
  • Advanced Data Platforms: Exposure to modern data platforms and cloud ecosystems to diagnose and resolve runtime issues.
  • Cloud Ecosystem Knowledge: Experience working with cloud ecosystems to maintain operational continuity and reliability of data ecosystems.
  • Runtime Troubleshooting: Ability to perform controlled remediation within production environments to resolve runtime issues. India Software Engineering Hybrid Professional Bangalore, IN (0063) IBM India Private Limited
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