Title: Senior Data Engineer
Location: Chennai
Work Mode: Hybrid

Job purpose
We are seeking an experienced Data Engineer to support a large-scale Global Capital Markets platform-modernization program. The role focuses on designing, building and optimizing scalable data pipelines and analytical workflows using Databricks, Python, PySpark and AWS cloud services, underpinning the stabilization of Front Office Trading systems and the build-out of target-state capabilities across event-driven integration, data-lake / Databricks platforms, reporting, migration and the front-to-back trade lifecycle for FX Cash, Cleared IRS and future product onboarding. The ideal candidate combines robust hands-on data-engineering and distributed-processing expertise with a solid grasp of ETL/ELT and data lake architectures, and partners closely with Front Office, Product Owners, Risk, Quantitative Analysts and Technology teams to deliver production-ready, high-performance data solutions in a complex capital-markets setting.

Key responsibilities
- Partner with Front Office, Product Owners,



Quantitative Analysts, Risk and Technology teams to understand business requirements and transform them into scalable data and analytics solutions.
- Design, develop and maintain data pipelines and analytical workflows using Databricks, Python, PySpark and AWS cloud services.
- Implement scalable ETL/ELT solutions leveraging AWS services such as S3, Glue, Lambda, CloudWatch and Databricks, and develop reusable data models, transformation frameworks and data-quality controls.
- Develop and optimize PySpark applications and distributed-processing workloads to improve performance, scalability and operational efficiency.
- Develop APIs and data services using Python and FastAPI to enable consumption of analytics and business data across multiple applications.
- Analyze structured and unstructured datasets to derive actionable insights and support business decision-making, aligned to business and regulatory

📌 Senior Data Engineer (Tamil Nadu)
🏢 Vertage
📍 Tamil Nadu