About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions:

- Innovation Partner of the Year – Databricks, 2024
- Digital Impact Award, UK – 2024 (TMT Sector)
- Rising Star – APJ Databricks Partner Awards 2023
- Qlik’s Most Enabled Partner – APAC

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes. Learn more: www.exponentia.ai

About the role:

We are looking for a skilled Data Engineer with hands-on experience in Databricks to design, build, and maintain scalable data pipelines and transformation workflows. The ideal candidate will have strong expertise in big data processing, ETL development, and cloud-based data platforms, enabling productive data-driven decision-making.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks
- Build and optimize ETL/ELT workflows for data ingestion and transformation
- Work with large datasets using distributed computing frameworks (Spark)
- Develop and maintain data models to support analytics and reporting needs




- Collaborate with stakeholders to gather requirements and translate them into technical solutions
- Ensure data quality, governance, and reliability across pipelines
- Optimize performance of Databricks jobs and data processes
- Integrate data from multiple sources (APIs, databases, files, etc.)
- Support production deployments and troubleshoot data-related issues

Roles and Responsibilities Required Skills & Qualifications

- 4+ years of experience in Data Engineering / Big Data development
- Strong hands-on experience with:
- Azure Databricks / Databricks platform
- Apache Spark (PySpark preferred)
- SQL (advanced queries and optimization)

- Experience building ETL pipelines and data workflows
- Solid understanding of data warehousing concepts
- Experience working with structured and unstructured data
- Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable)
- Knowledge of data pipeline orchestration tools (ADF, Airflow, etc.)
- Strong problem-solving and analytical skills

Why Join Exponentia.ai?

- Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
- Shape the Practice: Build a marquee capability from the ground up with full ownership
- Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
- Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
- Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
- Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership.

Ready to build the future of AI with us? Apply now and become a part of a next-gen tech company that’s setting benchmarks in enterprise AI solutions.

📌 Databricks Data Engineer (Mumbai)
🏢 Exponentia.AI Private
📍 Mumbai