Senior Big Data Developer - Vice President

Posted 13 Days Ago
Be an Early Applicant
Mississauga, ON, CAN
In-Office
120K-170K Annually
Senior level
Fintech • Financial Services
The Role
Lead and manage applications development teams for Big Data platform delivery. Hands-on development and troubleshooting across Hadoop ecosystem, build/oversee data pipelines (batch and streaming), ensure CI/CD and cloud integration, mentor engineers, manage stakeholders, budgets, and compliance with policies and controls.
Summary Generated by Built In

The Applications Development Tech Lead Analyst is responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis, development and maintenance activities. This role requires hands-on development and participation in entire software/application development lifecycle. 
 
Responsibilities:
•    Manage one or more Applications Development teams in an effort to accomplish established goals
•    Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
•    Review/analyze/develop proposed technical solutions for projects
•    Contribute to formulation of strategies for applications development and other functional areas
•    Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
•    Provide evaluative judgment based on analysis of factual data in complicated and unique situations
•    Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
•    Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
 

Core Skills:
The Data Engineering lead will be working very closely with and managing the work of a team of data engineers working on our Big DataPlatform. The lead will need the below core skills –
•    Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
•    Hands-on experience working with Hive, Impala, Kafka, HBase, Spark for data curation/conformance related work.
•    Strong proficiency in Spark for development work related to curation/conformance. Strong Scala development (with previous Java background) preferred.
•    Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging.
•    Strong data analysis skills and the ability to slice and dice the data as needed for business reporting.
•    Relational SQL (Oracle, SQL Server), NoSQL (MongoDB) and Cache (Couchbase) database integration and data distribution principles experience
•    Leadership & Mentorship: Ability to guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth.
•    Communication Skills: Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences.
•    DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
•    Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping.
•    Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively.
•    Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams.

 
Additional Requirements (Nice to have):
•    Cloudera/Hortonworks/AWS EMR, S3 experience a plus
•    Experience with Cloud Integration on AWS, Snowflake or GCP tech stack components.
•    Experience with API development and use of JSON/XML/Hypermedia data formats.
•    Analysis and development across Lines of business product/function including Payments, Digital Channels, Liquidities, Trade, Sales, Pricing, Client Experience having Cross train, functional and/or technical knowledge

 
Qualifications:
•    6-10 years of relevant experience in the Big Data Application Development
•    Experience as Applications Development Manager
•    Experience as senior level in an Applications Development role
•    Stakeholder and people management experience
•    Demonstrated leadership skills
•    Proven project management skills
•    Basic knowledge of industry practices and standards

 
Education:
•    Bachelor’s degree/University degree or equivalent experience
 

Other Relevant Skills:

  • Apache Hadoop, Apache Hive, Apache Impala, Apache Kafka, Apache Spark, Big Data, Java, MongoDB, NoSQL, Oracle Database, Python (Programming Language), Relational Database Management System (RDBMS). 

 
 

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Primary Location Full Time Salary Range:$120 800,00 - $170 800,00

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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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.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Skills Required

  • 6-10 years of relevant experience in Big Data Application Development
  • Experience as Applications Development Manager
  • Experience as senior level in an Applications Development role
  • Stakeholder and people management experience
  • Demonstrated leadership skills
  • Proven project management skills
  • Bachelor's degree or equivalent experience
  • Strong understanding of Big Data architecture and troubleshooting on Hadoop (Cloudera preferred)
  • Hands-on experience with Hive, Impala, Kafka, HBase, Spark for data curation/conformance
  • Strong proficiency in Spark for development work
  • Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging
  • Strong data analysis skills for business reporting
  • Relational SQL (Oracle, SQL Server), NoSQL (MongoDB) and Cache (Couchbase) integration experience
  • Leadership and mentorship of junior developers
  • Strong written and verbal communication skills
  • Experience in Continuous Integration/Continuous Delivery and tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes
  • Proficiency in software engineering best practices (design patterns, coding standards, modularity)
  • Experience with data visualization tools and techniques
  • Familiarity with agile and scaled agile methodologies
  • Strong Scala development (with previous Java background)
  • Cloudera/Hortonworks/AWS EMR and S3 experience
  • Cloud integration experience on AWS, Snowflake or GCP components
  • Experience with API development and use of JSON/XML/Hypermedia formats
  • Cross-functional business domain knowledge (Payments, Digital Channels, Trade, Sales, Pricing, Client Experience)

Citi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.

  • Healthcare Strength Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
  • Retirement Support Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
  • Wellbeing & Lifestyle Benefits Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.

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