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.
Responsibilities:
- 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
- Good experience in Hadoop Big Data Hadoop centric schedulers
- Serve as advisor or coach to new or lower level analysts
- Has the ability to operate with a limited level of direct supervision.
- Can exercise independence of judgement and autonomy.
- Acts as SME to senior stakeholders and /or other team members.
Qualifications:
- 7 years of relevant experience
- Experience in Big Data Engineering Using Scala or Java Python to have Designing and developing scala related data pipelines and REST API
- Deep knowledge in Spark and Scala API experience required
- Good experience in Hadoop Big Data Hadoop centric schedulers
- 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
- Hands-on Ab Initio experience (graphs, plans, PDL, DML) and a track record designing and developing ETL pipelines/services. Experience in Migrating from Abinitio to Python workloads
- Strong with data processing at scale both file based and streaming pipelines with Kafka Integration
- CI/CD expertise: Git-based workflows, automated testing, artifact/version management, environment promotion.
- Practical use of AI engineering tools (e.g., GitHub Copilot, code assistants/agents) in daily development and reviews.
- Excellent communication—clear, concise, audience-appropriate; strong stakeholder management.
Education:
- Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Skills Required
- 7 years of relevant experience
- Bachelor's degree, university degree, or equivalent experience
- Big data engineering experience using Scala, Java, or Python
- Experience designing and developing Scala data pipelines and REST APIs
- Deep knowledge of Apache Spark and Scala APIs
- Experience with Hadoop and Hadoop-centric schedulers
- Experience managing and implementing successful projects
- Working knowledge of consulting and project management techniques
- Hands-on Ab Initio experience with graphs, plans, PDL, and DML
- Experience designing and developing ETL pipelines and services
- Experience migrating Ab Initio workloads to Python
- Strong data processing experience at scale with file-based and streaming pipelines
- Kafka integration experience
- CI/CD expertise, including Git workflows, automated testing, artifact management, version management, and environment promotion
- Practical experience using AI engineering tools such as GitHub Copilot or code assistants
- Excellent communication and stakeholder management skills
- Ability to work under pressure and manage deadlines or changing requirements
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
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