Are you passionate about building scalable, cloud-native data platforms? We are looking for a highly skilled
Senior Data Engineer
to join our Data & AI Practice and work on enterprise-grade data solutions for leading organizations.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT data pipelines.
- Develop cloud-native data solutions on AWS.
- Work extensively with Databricks, PostgreSQL, Aurora, and distributed processing frameworks.
- Build and manage both batch and streaming data pipelines.
- Optimize data performance, reliability, and quality in production environments.
- Collaborate with Data Scientists, AI Engineers, Analysts, and Platform Teams.
- Contribute to architecture and technical design decisions.
- Support production systems and mentor junior engineers.
Required Skills
- 5+ years of Data Engineering experience.
- Strong hands-on experience with
Databricks
.
- Expertise in
Python, Spark, Java, and Advanced SQL
.
- Experience with AWS data services and cloud-native platforms.
- Robust understanding of distributed systems and scalable architectures.
- Experience with CI/CD, monitoring, and operational support.
- Financial Services (FS) domain experience is mandatory.
- Exposure to enterprise-scale data projects and stakeholder management.
Nice to Have
- Experience supporting ML, AI, or GenAI initiatives.
- Exposure to BI & Analytics tools.
- Consulting or client-facing delivery experience.
- Experience working in regulated environments.
Why Join Us?
- Work on cutting-edge Data & AI projects.
- Opportunity to influence architecture and design decisions.
- Collaborate with high-performing engineering teams.
- Exposure to enterprise and regulated industry clients.