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 innovative 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 designing, building,



and maintaining ETL/ELT pipelines for large-scale data ingestion and transformation. + Proficiency with Python data processing libraries including Pandas, NumPy, and SciPy for data wrangling and preprocessing tasks. + Practical experience with DevOps tools and CI/CD pipeline automation, with version control managed through GitHub. + Solid working knowledge of Linux environments, with familiarity across Windows systems. + Ability to collaborate across multidisciplinary teams to diagnose complex technical problems and deliver effective, lasting solutions. **Beneficial Skills & Qualifications** + Working knowledge of Machine Learning and Generative AI, with direct exposure to AI development tooling in an engineering context. + Familiarity with Agentic AI workflows and their application to enhancing platform capabilities or development productivity. + Experience using Jupyter Notebook for rapid prototyping and iterative development of data solutions. **What We Offer** At Citi, you will work on technically challenging problems that matter, contributing to a platform that shapes how a global financial institution processes and derives intelligence from data. This is a role where technical depth, curiosity, and engineering rigour are genuinely valued. + Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility and in-person collaboration. + Access to complex, large-scale engineering challenges at the intersection of data and AI, keeping your technical skills at the forefront of the industry. + Opportunities to grow into AI and platform architecture disciplines, supported by a team culture that invests in continuous technical development.



+ Exposure to a globally connected engineering network, collaborating with specialists across technology, data, and product functions. + A performance-driven environment where your contributions to platform innovation directly influence business outcomes at scale. + Wellbeing and work-life balance support, alongside a competitive benefits package designed to recognise the value you bring. Build data systems that power real decisions - apply now to join Citi's next-generation AI and data platform engineering team. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal chance and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Senior Developer - Python and Spark (Pune)
🏢 Citigroup
📍 Pune