Senior Python Developer, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Python Engineer, you'll be a key contributor to building robust and scalable data pipelines that integrate with diverse internal and external systems. You'll be involved in architectural decisions, ensuring the platform's health through monitoring, infrastructure setup, and CI/CD optimization. This platform processes vast datasets, running sophisticated models to detect potential market abuse, making your contribution crucial to our success. You'll collaborate closely with data scientists and business stakeholders, translating their needs into effective technical solutions. You'll also champion development and deployment best practices within the team, driving continuous improvement. This is a high-impact role with significant visibility.

Job Responsibility:

develop and maintain Python micro-services, encompassing numerous data pipelines and algorithms designed to identify market abuse
expand ETL processes to incorporate new data sources seamlessly
collaborate with quantitative analysts and data scientists to understand and implement requirements for new algorithms, data onboarding, quality checks, and timeliness
build strong relationships with clients and stakeholders to understand their needs and prioritize work effectively
thrive in a multidisciplinary team environment, working closely with fellow developers, quants, data scientists, and production support teams

Requirements:

5-8 years of relevant experience
proven experience designing and implementing Python-based backend services
expertise in building data pipelines leveraging Big Data technologies, preferably Spark and Python
experience with Angular, React or other front-end frameworks is a plus, as is a general understanding of full-stack development principles
strong database skills, with experience using SQL and NoSQL technologies (e.g., SQL Server, MongoDB)
experience collaborating with data scientists and developing pipelines that support statistical algorithms
demonstrated experience working in a DevOps environment, including CI/CD tools, monitoring tools, and log aggregation tools
experience with Docker/Kubernetes is mandatory
ability to automate and streamline the build, test and deployment of data pipelines
deep experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
proven experience of providing technical vision and guidance to a data team
thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work

Nice to have:

experience with Angular, React or other front-end frameworks
general understanding of full-stack development principles

Additional Information:

Job Posted:
May 21, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Python Developer