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 4–6 years of experience in building scalable and productive data solutions. The ideal candidate should have strong expertise in Python, PySpark, Spark, SQL, and ETL development, along with hands-on exposure to AWS-based data platforms. You will be responsible for designing, developing, and optimizing data pipelines that support analytics and business-critical applications. The current technology stack includes AWS, Apache Iceberg, and Spark/PySpark, with Databricks planned as part of the future roadmap.

Roles & Responsibilities

- Design, develop, and maintain scalable data pipelines using Python, PySpark, and Spark.
- Build and optimize ETL processes for extracting,



transforming, and loading large volumes of data.
- Develop efficient SQL queries and data models to support reporting and analytics requirements.
- Work with AWS services and cloud-based data platforms to implement robust data engineering solutions.
- Perform data aggregation, transformation, and processing to support business use cases.
- Monitor data quality, troubleshoot issues, and ensure reliability and performance of data workflows.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Participate in code reviews, documentation, testing, and production support activities.

Preferred Skills

Mandatory:

- Python
- PySpark
- Apache Spark
- SQL
- ETL / Data Engineering
- Data Pipeline Development
- Data Aggregation & Data Processing
- AWS Exposure

Good to Have:

- Apache Iceberg
- Data Lake Architecture
- Databricks
- Experience working with large-scale distributed data systems
- CI/CD and version control tools such as Git

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.

📌 AWS Databricks Data Engineer (Mumbai)
🏢 Exponentia.ai
📍 Mumbai