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The Applications Development Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Job Responsibility:
Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements
Identify and analyze issues, make recommendations, and implement solutions
Utilize knowledge of business processes, system processes, and industry standards to solve complex issues
Analyze information and make evaluative judgements to recommend solutions and improvements
Conduct testing and debugging, utilize script tools, and write basic code for design specifications
Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures
Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications
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
Requirements:
Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala
Experience: 3 to 6+ years of hands-on experience in big data development, focusing on Apache Spark, Scala/Python, and distributed systems
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
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