Data Engineer - Databricks

About the role

Role: Data Engineer - Databricks & Python Relevant Experience Required: 4 Years Job Description: Data Transformation Query, clean, and transform datasets using SQL and Python on the Databricks platform. Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards. Analytics & Dashboard Development Build, enhance, and maintain dashboards for data monitoring , performance reporting , and user behaviour analytics . Partner with business stakeholders to understand data requirements and translate them into impactful visual insights. Documentation & Knowledge Management Develop clear and comprehensive user guides for dashboards, charts, and data workflows in Databricks Maintain technical documentation (e.g., on Confluence) for analytics processes, standards, and best practices. Additional Opportunities Explore and prototype automation solutions to streamline repetitive or manual workflows. Develop project management competencies , including: Creating user stories and acceptance criteria Managing JIRA tickets and sprint tasks Writing and executing QA test cases Competencies & Requirements Required Skills Proficiency in SQL and Python for data processing and automation. Hands-on experience in dashboard tools such as Tableau , Power BI , or equivalent visualisation tools. Familiarity with Databricks or similar big data/analytics platforms. Ability to produce high-quality technical documentation . Additional Skills Preferred Experience in system testing , SIT/UAT , or quality assurance processes. Knowledge of Spark for distributed data processing. Understanding of Git or other version control systems. Soft Skills Strong analytical mindset and problem-solving abilities. Good communication skills, especially in explaining technical concepts to non-technical users. Ability to work independently as well as collaboratively in cross-functional teams. Attention to detail and commitment to delivering high-quality work.

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Company Intel

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