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 modern 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 productive 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 sta
📌 Senior Data Engineer (Bengaluru)
🏢 Swiss Re
📍 Bengaluru
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