Citi

Banking

FullstackBigDataDeveloperApplicationDevelopmentTechnicalLeadAnalystVicePresident

$121–171k Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Fullstack Big Data Developer Application Development Technical Lead Analyst Vice President at Citi”

Industry & Context.

Banking
Full Job Description

Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Design, develop, and maintain scalable and robust architecture for the project using Java/Python/Scala and other full stack technologies. Manage big data technologies such as python, pyspark to ensure seamless data integration, storage, and analysis. Collaborate with cross-functional teams including data scientists, analysts, and IT professionals to align project goals with business objectives. Ensure compliance with data governance standards and regulations. Mentor and provide guidance to junior engineers and developers. Report progress, challenges, and solutions to the executive team

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