Data Engineer-Data Platforms-Databricks
IBM · Posted Oct 27
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting works with clients across industries to shape hybrid cloud and AI journeys, supported by IBM technology, strategic partners, and Red Hat. The Data Platforms-Databricks role focuses on building and enhancing the Databricks platform for client Data and AI use cases. The engineer will implement data and AI use cases, including designing, developing, and deploying scalable data pipelines and architectures.
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. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
- Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.
- Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
Skills used in this role
What the employer is looking for
- Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
- Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
- Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
- Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.
- Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks, is beneficial for this role.
- Data Engineering Principles: Familiarity with data engineering principles and practices, particularly in cloud-based environments, is advantageous for implementing data and AI use cases on the Databricks platform.
- Technical Proficiency: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing is desirable for this position.
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
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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