The Applications Development Intermediate 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
- Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
- Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
- Apply fundamental knowledge of programming languages for design specifications.
- Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
- Serve as advisor or coach to new or lower level analysts
- Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
- Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
- 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.
Required Qualifications:
Big Data & Distributed Computing:
- 3+ years of hands-on experience with Apache Spark and PySpark
- Deep understanding of Spark architecture, RDDs, DataFrames, and Datasets
- Experience with Spark SQL, Spark Streaming, and Spark optimization techniques
- Proficiency in Python for data processing and scripting
ETL & Data Integration:
- 3+ years of experience designing and implementing ETL/ELT pipelines
- Hands-on experience with ETL tools such as Apache Airflow, Abinitio or similar
- Experience with Databricks platform and Delta Lake
- Strong understanding of data warehousing concepts and dimensional modeling
- Experience with data integration patterns and best practices
- Databases: In-depth knowledge and hands-on experience with relational databases, specifically Oracle, including SQL, PL/SQL.
- Analytical Skills: Exceptional analytical and problem-solving skills, with a proven ability to dissect complex technical issues, identify root causes, and drive effective solutions in high-pressure production environments.
- Front-End/GUI: Demonstrated experience with modern GUI technologies (e.g., Angular, React, Vue.js) and associated web technologies (HTML5, CSS3, JavaScript, TypeScript).
- Leadership: Demonstrated experience in leading and mentoring development teams, with strong communication, interpersonal, and problem-solving skills.
- Tools: Experience with Git, Maven/Gradle, CI/CD pipelines (e.g., Jenkins), and cloud platforms is highly desirable.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Nice to have Qualifications:
- Familiarity with messaging queues (e.g., Kafka, SOLACE).
- Experience with test-driven development (TDD) and behavior-driven development (BDD).
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location Full Time Salary Range:$79,320.00 - $110,680.00------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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This job opening is for an existing job vacancy.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 3+ years hands-on experience with Apache Spark and PySpark
- Deep understanding of Spark architecture, RDDs, DataFrames, and Datasets
- Experience with Spark SQL, Spark Streaming, and Spark optimization techniques
- Proficiency in Python for data processing and scripting
- 3+ years designing and implementing ETL/ELT pipelines
- Hands-on experience with ETL tools such as Apache Airflow, Abinitio or similar
- Experience with Databricks platform and Delta Lake
- Strong understanding of data warehousing concepts and dimensional modeling
- Experience with data integration patterns and best practices
- In-depth knowledge and hands-on experience with Oracle, including SQL and PL/SQL
- Exceptional analytical and problem-solving skills in production environments
- Demonstrated experience with modern GUI technologies (Angular, React, Vue.js) and HTML5, CSS3, JavaScript, TypeScript
- Demonstrated experience in leading and mentoring development teams
- Experience with Git, Maven or Gradle, CI/CD pipelines (e.g., Jenkins) and cloud platforms
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Familiarity with messaging queues (Kafka, SOLACE)
- Experience with test-driven development (TDD) and behavior-driven development (BDD)
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 — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
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