Citigroup Looking for Mid-Level PySpark Developer (PySpark, SQL, Unix Shell Scripting) – Hybrid – Mississauga at Ontario Full Time

Citi is a leading global financial services company having 200 million customer accounts. Citi does business in more than 100 countries, providing consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage and wealth management.

This role will be part of the Financial Risk Technology Team in Citi’s Institutional Clients Group (ICG). Our goal is to build a strong culture of engineering and delivery where we put the business first while achieving all their complex goals of consistency, performance, efficiency, and transparency that a bank of the magnitude of Citi needs. This team is responsible for delivering market and credit risk technology and software solutions for Citi’s Front Office and Back Office Risk Management, which is an independent global function that is responsible for managing market, credit, operational, country, and underwriting risks that are embedded in the activities of its worldwide customer base. Software solutions from this group include high-throughput feed processing engines to process factor sensitivities and market data, high-performance pricing calculation engines that run on compute grids as well as large in-memory servers to calculate Value at Risk (VaR), Stress Testing and limit utilization calculations, and high-availability big data lakes for sharing risk metrics and stress results with Front Office, Risk, and Finance organizations. Roles in this team will provide candidates with a unique engineering opportunity to work on best-in-class software solutions for Front Office and Back Office Risk Management with latest commercial-off-the-shelf and cloud-enabled technology stack.

Key Responsibilities:

Provide strong hands-on in implementing data frameworks defined by the lead/architect in data ingestion and reporting teams.

Enforce industry standard SDLC best practices for effectively managing the codebase.

Partner with other software engineers, dev-ops and production support staff to deliver robust software solutions.

Skills:

4+ years Big data development with hands-on experience with PySpark programming

Knowledge on HDFS, Hive, Spark, Spark Streaming and SQL engine

Strong Knowledge in Python programming language

Familiarity with Linux environment including scripting skills

SDLC/Dev Ops – Git/BitBucket, CI/CD pipeline frameworks such as Jenkins, SonarQube, JIRA, Any secure coding toolkits

Education:

Graduate in a STEM (Science, Technology, Engineering and Mathematics) discipline.

Citi Canada is an equal opportunity employer. Accordingly, we will make accommodations to respond to the needs of people with disabilities (including, without limitation, physical and mental health disabilities) during the recruitment process and otherwise in accordance with law. Individuals who view themselves as Aboriginals, members of visible minority or racialized communities, and people with disabilities are encouraged to apply.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.