About the Role

As a Senior Data Engineer, you'll be at the forefront of our data infrastructure, designing and building scalable data pipelines that transform raw information into valuable business intelligence. You'll lead technical initiatives, make architectural decisions, and collaborate with cross-functional teams to understand data needs and implement solutions that enable data-driven decision making across the organization.

Key Responsibilities
- Lead and design robust, scalable data pipelines and ETL processes using Python, PySpark, and other up-to-date technologies
- Architect and implement complex data models and structures in various databases including MongoDB and SQL Server
- Build and optimize enterprise-level data workflows using Palantir / Azure Databricks platforms to ensure efficient data processing
- Drive collaboration with data scientists, analysts, and business stakeholders to understand data requirements and deliver appropriate solutions
- Establish data quality standards by implementing validation procedures, monitoring systems,



and data governance practices
- Lead troubleshooting efforts for complex data issues while maintaining system performance
- Evaluate and recommend new data technologies to continuously improve our data infrastructure
- Create and maintain technical specifications, processes, and best practices for sharing knowledge
- Mentor and develop junior engineers and contribute to establishing engineering standards across the organization
- Act as a Data Engineering SME supporting multiple teams across various domains and driving engineering best practices across all teams.

About the Team

We are a team that believes in engineering excellence and that our leaders should also be engineers themselves. We build applications that are carefully designed, thoughtfully implemented by working together with product owners. Quality and stability are first-class deliverables in everything we do, and we lead by example by embedding high stan

📌 Senior Data Engineer (India)
🏢 Swiss Re
📍 India