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 seeking an experienced Senior Data Engineer with strong hands-on expertise in building and delivering Databricks-based data solutions. The ideal candidate will design and develop high-quality data pipelines, optimize Spark workloads, participate in architectural decision-making, and guide the team in delivering scalable, reliable, and cost-efficient data platforms.

Key Responsibilities

Databricks & Data Engineering

- Design, develop, and optimize data pipelines using Databricks (SQL, Python, PySpark).
- Work with Delta Lake, Lakehouse architecture, and Unity Catalog for governance and lineage.
- Implement and manage Databricks workflows, cluster configurations, and job scheduling.




- Troubleshoot and optimize Spark jobs for performance, reliability, and cost efficiency.
- Integrate Databricks with cloud platforms (AWS/Azure/GCP), data lakes, and external systems.

Technical Ownership & Development

- Own the end-to-end design and delivery of complex engineering and data solutions.
- Build scalable ETL/ELT pipelines and collaborate with architects on solution design.
- Review code, enforce best practices, and maintain high engineering standards.
- Create reusable components, frameworks, and automation scripts.

Collaboration & Leadership

- Mentor junior/mid-level engineers on Databricks, PySpark, and data engineering best practices.
- Collaborate closely with product owners, architects, and cross-functional teams.
- Participate in sprint planning, design reviews, and architectural discussions.

Quality, Testing & DevOps

- Implement CI/CD pipelines for Databricks (Databricks Repos, GitHub/Azure DevOps/GitLab).
- Ensure high-quality deliverables through unit testing, data validation, and automated checks.
- Support production deployments, monitoring, and incident resolution.

Roles and Responsibilities

Ideal Candidate Profile

- Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
- 6+ years of engineering or data engineering experience.
- Strong hands-on experience with Databricks, including PySpark, SQL,



and Delta Lake.
- Experience designing and optimizing ETL/ELT pipelines in a cloud environment.
- Proficiency in Spark performance tuning, job optimization, and cluster management.
- Experience with cloud platforms (Azure/AWS/GCP) and cloud-native data services.
- Strong programming skills in Python, SQL, and knowledge of distributed computing concepts.
- Experience with Git, CI/CD, data quality frameworks, and DevOps practices.
- Excellent problem-solving, debugging, and communication skills.

Preferred Qualifications

- Experience with Unity Catalog, Delta Live Tables, Feature Store, or MLflow.
- Experience with orchestration tools (Airflow, ADF, Databricks Workflows).
- Knowledge of streaming technologies (Kafka, Kinesis, EventHub).
- Experience with containerization (Docker/Kubernetes) is a plus.
- Cloud certifications or Databricks certification (Associate/Skilled Data Engineer).

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.

📌 Sr Data Engineer (Maharashtra)
🏢 Exponentia.AI Private
📍 Maharashtra