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Citi is a global banking and financial services company serving consumers, corporations, governments, and institutions. Its offerings span consumer banking, credit cards, wealth management, corporate banking, and investment banking, supported by operations in more than 100 countries. As a large international finance organization, Citi brings together teams working across banking, financial services, and fintech.
Senior Big Data Java and Spark Developer
Build low-latency financial applications at Citi using Java, Spark, and big data technologies. Develop data solutions across Hadoop, Scala, Python, and cloud platforms.
Description
- Contribute to the design and delivery of new or updated applications with the Technology team.
- Assess feasibility, estimate time and costs, plan IT work, and support risk technology, application and model development, and implementation.
- Oversee development from analysis and design through construction, testing, and implementation.
- Support business users with application and operational issues.
- Investigate complex application development challenges and assess business, system, and industry processes and standards.
- Recommend and implement security improvements based on post-implementation reviews.
- Work with users, clients, and technology teams to resolve issues and propose advanced programming solutions.
- Install and support customer exposure systems.
- Follow required procedures and contribute to operating standards and processes.
- Coach and advise new or junior analysts.
- Work with limited supervision, using independent judgment and autonomy.
- Provide subject matter expertise to senior stakeholders and team members.
- Manage risk and maintain compliance with applicable laws, regulations, rules, and policies.
- Escalate, manage, and report control issues openly.
Requirements
- At least 8 years of relevant experience.
- Experience in systems analysis and software application programming.
- Experience managing and delivering successful projects.
- Working knowledge of consulting and project management methods and techniques.
- Able to work under pressure and manage deadlines or unexpected changes in expectations or requirements.
- At least 8 years of development experience with the Hadoop ecosystem, including HDFS, Impala, Hive, or HBase.
- Experience developing Java server-side software for low-latency applications.
- Scala programming skills.
- Expertise with Spark, including micro-batching and end-of-day or real-time processing.
- Data analysis skills, preferably using SQL.
- A financial services background is preferred.
- Python skills.
- Linux skills.
- Experience with Databricks or AWS.
- Track record of meeting agreed objectives.
- Able to multitask and work under pressure.
- Able to learn and apply new concepts.
- Demonstrated problem-solving ability.
- Proactive and enthusiastic, with a willingness to learn.
- Strong analytical and process skills, including process flow diagrams, business modeling, and functional design.
- Bachelor’s degree, university degree, or equivalent experience.
Benefits
- Equal opportunity employer.
- Reasonable accommodations for people with disabilities.
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