About The Role

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.