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
Databricks Data Engineer with 5+ years of experience to design, build, and optimize scalable, high-performance data pipelines and analytics solutions using the Databricks platform. The ideal candidate will play a key role in architecting data platforms and mentoring junior engineers.
Key Responsibilities
- Design, develop, and optimize large-scale ETL/ELT pipelines using Databricks, Spark, and Python.
- Architect and manage Delta Lake tables for high-performance analytics.
- Ingest and process structured and unstructured data from multiple sources.
- Optimize Spark workloads for performance, scalability, and cost efficiency.
- Implement robust data quality, monitoring, logging, and alerting frameworks.
- Lead integration with cloud services (Azure/AWS/GCP) and data orchestration tools.
- Drive CI/CD automation for data pipelines and notebook deployments.
- Enforce data security, governance, and compliance standards.
- Collaborate with architects, data scientists, analysts, and business stakeholders.
- Mentor junior engineers and drive engineering best practices.
