Our Data Engineering team is a dynamic and cutting-edge 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 optimization, indexing
strategies, and architectural improvements
* Design, develop, and maintain robust ETL/ELT pipelines usin
📌 Senior Data Engineer (Bengaluru)
🏢 PayU Payments
📍 Bengaluru
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