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Please Note

  • An estimate based on public data for similar roles. Not provided by the employer.

Databricks Expert

Malaysia Capgemini Estimated salary: RM12,000–RM25,000 per month, depending on experience and specialization
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

Capgemini’s Databricks Expert role in Malaysia typically requires strong experience with Databricks, Apache Spark, Python, SQL, data lakes, Lakehouse architecture, ETL pipelines, and cloud platforms such as Azure, AWS, or Google Cloud. The candidate is expected to design scalable data solutions, optimize performance, support data engineering and analytics projects, and work closely with clients and multidisciplinary delivery teams. Experience with Delta Lake, Unity Catalog, data governance, CI/CD, and modern analytics practices is valuable. Strong communication, consulting, problem-solving, documentation, and stakeholder-management skills are also expected. Relevant professional certifications and experience delivering enterprise data platforms would be advantageous.

About the employer

Capgemini is a global business and technology transformation company headquartered in France, operating across consulting, technology services, engineering, cloud, data, artificial intelligence, and digital customer experience. It helps organizations modernize their technology environments, improve operations, develop digital products, and use data more effectively. Capgemini serves clients across industries including financial services, manufacturing, telecommunications, retail, healthcare, energy, and the public sector. Its workforce includes consultants, engineers, architects, developers, analysts, and project specialists working in international teams. In Malaysia, the company supports regional and global delivery programs, providing opportunities to work with multinational clients and modern platforms such as cloud infrastructure, SAP, analytics, cybersecurity, and Databricks. The working environment generally emphasizes collaboration, professional development, structured delivery methods, and continuous technology learning.

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