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Senior Data Engineer

About The Team

Our Data Engineering team is a agile and innovative group that forms the backbone of our data-driven organization. We are responsible for building and maintaining robust, scalable data infrastructure that powers critical business decisions across multiple domains. The team works on cutting-edge technologies and handles massive data volumes, ensuring seamless data flow from various sources to our data warehouse and analytics platforms. We play a crucial role in powering Machine Learning models across various use cases by building sophisticated feature engineering pipelines, deploying ML model infrastructure, and maintaining real-time feature generation systems.

About The Role

As a Senior Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure. You'll work with modern data engineering technologies and cloud platforms to build scalable ETL pipelines,



optimize data processing workflows, and ensure data quality and reliability across our systems. This role extends significantly into the ML domain, where you'll be responsible for building and maintaining feature engineering pipelines that power various ML models across the organization. You'll work on real-time feature generation systems, deploy and maintain ML model infrastructure, and ensure seamless integration between data pipelines and ML workflows. Your work will directly impact model performance and enable data scientists to focus on model development rather than infrastructure concerns.

Responsibilities:

Partner closely with business stakeholders to understand and translate data warehouse requirements into technical solutions
Provide comprehensive support for data warehouse initiatives including requirements gathering, solution design, and implementation
Optimize data warehouse performance through query opt

📌 Senior Data Engineer (Bengaluru)
🏢 Win Global PR
📍 Bengaluru