Job Description

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

At least two years (Over all 10+ hands on Data Engineering experience) 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

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

• 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

• 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

• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Required Skills:

• Experience: 7to10+yearsof hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems.

• ProficiencyinFunctionalProgramming: HighproficiencyinScala-basedfunctionalprogrammingfordevelopingrobustandefficientdataprocessingpipelines.

• ProficiencyinBigDataTechnologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN . AIRFLOW, DataOps, Data Management

• ProgrammingandScripting: AdvancedknowledgeofScalaandagoodunderstandingofPythonfordataengineeringtasks.

• DataModelingandETLProcesses: SolidunderstandingofdatamodelingprinciplesandETLprocessesinbigdataenvironments.

• AnalyticalandProblem-SolvingSkills: StrongabilitytoanalyzeandsolveperformanceissuesinSparkjobsanddistributedsystems.

• VersionControlandCI/CD: FamiliaritywithGit, Jenkins, andotherCI/CDtoolsforautomatingthedeploymentofbigdataapplications.

Desirable Experience:

• 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.

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.