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Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides 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, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
Position Overview:
The Senior Big Data Development Manager is a senior management level position 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 and programming activities within the Chief Data Office.
At least two years of experience building and leading highly complex, technical data engineering teams. Lead data engineering team, from sourcing to closing. Drive strategic vision for the team and product. Experience with Scala or Python.
Responsibilities:
Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
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
Experience managing an data focused product, ML platform
Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala.
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
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
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
Experience managing, hiring and coaching software engineering teams.
Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality.
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
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.
6+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems.
Experience as Applications Development Manager
Any experience with python development is nice to have.
Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines.
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
Consistently demonstrates clear and concise written and verbal communication
Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN. AIRFLOW, DataOps, Data Management
Programming and Scripting: Advanced knowledge of Scala and a good understanding of Python for data engineering tasks.
Data Modeling and ETL Processes: Solid understanding of data modeling principles and ETL processes in big data environments.
Analytical and Problem-Solving Skills: Strong ability to analyze and solve performance issues in Spark jobs and distributed systems.
Version Control and CI/CD: Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications.
Real-Time Data Streaming: Experience with streaming platforms such as Apache Kafka or Spark Streaming. Python Data Engineering Experience is Plus
Financial Services Context: Familiarity with financial data processing, ensuring scalability, security, and compliance requirements.
Leadership in Data Engineering: Proven ability to work collaboratively with teams to develop robust data pipelines and architectures.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.
