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The Applications Development Senior 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:
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Drive adoption of capabilities across regions by partnering with regional business and technology teams
Contribute to the microservice architecture development including RESTAPI and Graphql
Develop approaches to integrate data into the DataHub (EAP) and prototype methods of developing insights on that data with our business analytics teams and digital product teams
Assist in troubleshooting Data and Client experience issues by leveraging our capabilities and / or working with other teams to dive into root cause analysis
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud ‘big data’ technologies
Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Keep our data separated and secure across national boundaries through multiple data centers and AWS/GCP regions
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in our data system
Requirements:
8-10 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Subject Matter Expert (SME) in at least one area of Applications Development
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Experience as a mentor, tech lead or leading an engineering team
Experience or knowledge with integration of these tools with web, mobile and assisted channels
Understanding or ability to dive into data and analyze for quality, consistency, conformity and become an SME / data steward of the Citi client datasets
Strong interpersonal and communication skills
Experience in Java, JVM and python languages primarily
Experience with Hadoop, Python, Spark, analytic methods and frameworks is a plus
Experience with real-time streaming and stream processing frameworks is a plus
Experience with cloud architectures including Google Cloud, Amazon AWS is a plus
Nice to have:
GCP/AI/AWS
Experience with Hadoop, HBase or any RDBMS
Experience with real-time streaming and stream processing frameworks
Experience with cloud architectures including Google Cloud, Amazon AWS
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