• Develop, optimize, and maintain queries using SQL, Python, Databricks, and BigQuery. • Design and manage data pipelines and workflows on platforms such as Google Cloud Platform (GCP) and Microsoft Azure. • Implement and oversee ETL (Extract, Transform, Load) processes to ensure accurate and timely data movement. • Integrate APIs with data lakes to enhance data accessibility and interoperability. • Create and deploy AI Agents within Databricks applications to automate analytical tasks and insights generation. • Utilize Databricks Genie for advanced data engineering and analytics solutions. • Collaborate with business stakeholders to understand procurement processes and translate requirements into actionable data solutions (experience in procurement is a plus). • Develop compelling data visualizations and narratives using Power BI to communicate insights and support business strategy. • Work with SAP systems for data extraction, transformation, and reporting (SAP knowledge is an added advantage). • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field. • 2 to 5 years of professional experience in data analysis, data engineering, or a related discipline. • Proficient in SQL, Python, Databricks, BigQuery, and data platform technologies (GCP, Azure). • Strong understanding of ETL processes and API integration with data lakes. • Experience in creating AI agents within Databricks and familiarity with Databricks Genie. • Ability to present complex data findings through visualization and storytelling in Power BI. • Process knowledge in procurement and experience with SAP systems is highly desirable. • Excellent analytical, problem-solving, and communication skills. • Ability to work collaboratively in a fast-paced, cross-functional environment.