• Guide client on implementation of Databricks on AWS or Azure
• Design and engineer scalable, robust, and efficient data solutions using Databricks.
• Develop, implement, and maintain data pipelines, ETL processes, and data warehousing solutions.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
• Ensure data security, privacy, and compliance with relevant regulations and best practices.
• Provide technical leadership and guidance to development teams, ensuring adherence to architectural best practices.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Proven experience as Data Engineer, or similar role, with a focus on Databricks
• Strong understanding of cloud computing on AWS or Azure
• Proficiency in Databricks, Spark, and related big data technologies.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.