Senior Python Developer

Citigroup Inc.; Mississauga; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial services firm is seeking a skilled Python Developer to design and maintain data pipelines and APIs. The ideal candidate will have over 5 years of experience in Python, work well with data analysts, and possess strong skills in SQL and data processing. Familiarity with the financial sector is a plus, making this a great opportunity to enhance your career in data engineering.

Qualifications

• 5+ years of proven experience in Python development.
• Extensive experience building and maintaining RESTful APIs.
• Strong SQL skills for querying and optimizing database operations.
• Deep understanding of data cleaning and validation techniques.

Responsibilities

• Design, develop, and maintain robust data pipelines using Python.
• Build and maintain RESTful APIs to support data access.
• Perform ETL for large volumes of data ensuring quality.
• Collaborate with data analysts and stakeholders on data requirements.

Skills

Python development

Data handling and processing

RESTful APIs

SQL

PySpark

Statistical analysis

Data governance

Collaboration

Education

Bachelor's or Master's degree in Computer Science, Data Science, or related field

Tools

Kafka

CI/CD tools

Git

Job description

Overview

We are seeking a highly skilled and experienced Python Developer to join our Data Engineering & Analytics team. You will play a key role in designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. You will work closely with data analysts and business teams to understand data requirements and deliver insightful data-driven solutions. The ideal candidate is passionate about data, enjoys problem-solving, and thrives in a collaborative environment. Experience in the financial or banking domain is a plus.

Responsibilities

• Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka.
• Perform efficient data extraction, transformation, and loading (ETL) for large volumes of data from diverse data providers, ensuring data quality and integrity.
• Build and maintain RESTful APIs and microservices to support seamless data access and transformation workflows.
• Develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency.
• Apply statistical analysis techniques to uncover trends, patterns, and actionable business insights from data.
• Implement comprehensive data quality checks and perform root cause analysis on data anomalies, ensuring data accuracy and reliability.
• Collaborate effectively with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
• 5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis.
• Extensive experience building and maintaining RESTful APIs and working with microservices architectures.
• Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka.
• Solid understanding and practical application of statistical analysis methods for business decision-making.
• Hands-on experience with PySpark for large-scale distributed data processing.
• Strong SQL skills for querying, manipulating, and optimizing relational database operations.
• Deep understanding of data cleaning, preprocessing, and validation techniques.
• Knowledge of data governance, security, and compliance standards is highly desirable. Experience in the financial services industry is a plus.
• Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus.
• Strong analytical, debugging, problem-solving, and communication skills.
• Ability to work both independently and collaboratively within a team environment.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

Preferred Skills

Experience with CI/CD tools and Git-based version control. Experience in the financial or banking domain.

Compliance

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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, please review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.