Purpose/Objective

We are seeking a highly skilled Data Analyst with a strong background in data engineering and development.
The ideal candidate will possess expertise in advanced query development, data platform management, ETL processes, API integration, AI agent creation, and data visualization.
This role is critical for supporting our data-driven decision-making and analytics initiatives across various business processes, including procurement.

Key Responsibilities of 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).

Technical Competencies

Cloud Data Engineering,Database Management & SQL,Data Pipeline Development,Big Data Technologies (Spark/Databricks)

Qualifications and Experience
- 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).
- Robust und

📌 Data Scientist (Ahmedabad)
🏢 Adani Group
📍 Ahmedabad