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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.
Job Responsibility:
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
Requirements:
6+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
Experience as Applications Development Manager
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
Nice to have:
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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