Citi is looking for a Senior Data Engineer to design and build the next-generation data processing and analytics platform that sits at the core of our AI-driven business innovation. In this role, you will architect scalable ETL/ELT pipelines using Python and PySpark, while also integrating Generative AI and Machine Learning models to push the boundaries of what our data systems can do. Working within a high-performing engineering team, you will shape how data flows, performs, and delivers value across the organisation at scale.

Responsibilities
Design and build highly scalable ETL/ELT pipelines in Python and PySpark to power reliable data ingestion, transformation, and integration at scale.
Develop production-grade code and elevate team capability through structured code reviews and hands-on peer mentorship.
Integrate Generative AI and Machine Learning models into data workflows, using AI development tools to deliver cutting-edge solutions and resolve complex technical challenges.
Establish and enforce data quality standards across all pipelines, ensuring accuracy, consistency,



and reliability of data throughout its lifecycle.
Implement an AI-first engineering approach by exploring and embedding Agentic AI workflows to increase development velocity and platform intelligence.
Automate CI/CD pipelines for builds and deployments, advancing DevOps maturity across the data platform.
Apply performance tuning and optimisation techniques to process large volumes of structured and semi-structured data efficiently and at speed.
Collaborate directly with engineers and product owners to align technical direction with delivery goals and accelerate outcomes.

Required Qualifications & Skills
Deep hands-on expertise in Python and Apache Spark, including Spark Core, Spark SQL, and DataFrames/Datasets, applied to production data systems.
Advanced SQL capability across complex query writing, data transformation logic, and query performance optimisation.
Demonstrated experience designi

📌 Senior Developer (Pune)
🏢 12542 Citicorp Services India Private
📍 Pune