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Data Engineer-Data Platforms-Databricks

IBM · Posted Oct 12

Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services

Bangalore, INFull-timeHybridSenior Level3–6 years₹18.0L–₹30.0L yearly<25 applicants
Information TechnologyCloud ComputingArtificial IntelligenceQuantum ComputingEnterprise SoftwareIT ConsultingPublic Company
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About the role

IBM Consulting works with leading companies across industries to shape their hybrid cloud and AI journeys, supported by strategic partners, IBM technology, and Red Hat. The Data & Analytics practice focuses on delivering data and AI solutions on cloud-based data platforms. This role builds and enhances the Databricks platform and implements data and AI use cases for client requirements, working directly with clients on integration and performance.

What you will do

  • Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
  • Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
  • Support Client Use Cases: Collaborate with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.

Skills used in this role

DatabricksRed HatAIData EngineeringCloud

What the employer is looking for

  • Databricks Platform Expertise: Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing data and AI solutions.
  • Data Engineering Skills: Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
  • Cloud Technology Knowledge: Experience with cloud technologies, including migration, deployment, and management of data and AI applications on cloud-based infrastructure.
  • Implementation Expertise: Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
  • Technical Collaboration: Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
  • Cloud Migration Knowledge: Exposure to migrating data and AI applications to cloud-based infrastructure, including deployment and management on Databricks platforms.
  • Advanced Data Engineering: Exposure to advanced data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
  • AI Solution Implementation: Exposure to implementing AI solutions on Databricks platforms, ensuring seamless integration and optimal performance.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About IBM

International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.

Industry
Information Technology
Company size
260,000+ employees
Founded
June 16, 1911
Location
Armonk, New York, USA
Funding stage
Public Company

Funding

Public Company · $3.5B raised

Institutional Public ShareholdersVanguard GroupBlackRock
  • ·Post Ipo Debt$150M

Leadership

AK
Arvind Krishna

Chairman, President and Chief Executive Officer

JJ
James J. Kavanaugh

Senior Vice President and Chief Financial Officer

RT
Rob Thomas

Senior Vice President, Software and Chief Commercial Officer

MA
Mohamad Ali

Senior Vice President, IBM Consulting

JH
Jonathan H. Adashek

Senior Vice President, Marketing and Communications