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:
- 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
- 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.
- 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.
Recommended Qualifications:
- 5-8 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
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.
Job Summary
We are seeking a highly skilled Senior Python / PySpark Developer to design, develop, and optimize large‑scale data processing solutions. The ideal candidate will have deep experience in Python, Apache Spark (PySpark), and distributed data systems, with a strong focus on performance, scalability, and reliability of data pipelines and analytical workloads.
You will work closely with data engineers, architects, and business stakeholders to deliver robust data solutions that power analytics, reporting, and downstream applications.
Key Responsibilities
Development & Engineering
- Design, develop, and maintain high‑performance data pipelines using Python and PySpark
- Build and optimize ETL/ELT workflows for large‑scale batch and streaming data
- Write clean, reusable, testable, and well‑documented Python code
- Optimize Spark jobs for performance, memory usage, and cost efficiency
- Implement data transformations, aggregations, and validations at scale
Data & Platform
- Work with structured and semi‑structured data (Parquet, ORC, JSON, Avro, CSV)
- Integrate with data sources such as RDBMS, NoSQL, cloud storage, and message queues
- Ensure data quality, integrity, and governance across pipelines
- Support migration and modernization of legacy data workflows to Spark‑based architectures
Architecture & Collaboration
- Contribute to data architecture and design discussions
- Review code and mentor junior developers
- Collaborate with DevOps, Data Science, and Analytics teams
- Participate in production support and performance tuning activities
Required Skills & Qualifications
Technical Skills
- Strong expertise in Python (8+ years preferred)
- Hands‑on experience with Apache Spark / PySpark (4+ years)
- Solid understanding of distributed computing concepts
- Strong SQL skills and experience with relational databases
- Experience with big data ecosystems (Hive, HDFS, Delta Lake, or similar)
- Familiarity with cloud platforms (AWS / Azure / GCP) and cloud‑native data services
- Experience with job orchestration tools (Airflow, Oozie, Azure Data Factory, etc.)
- Proficiency in Linux/Unix environments
Engineering Practices
- Experience with CI/CD pipelines
- Knowledge of unit testing, logging, monitoring, and debugging in distributed systems
- Familiarity with Git and code versioning practices
Nice to Have (Preferred Skills)
- Experience with Spark Structured Streaming
- Knowledge of Kafka or other messaging systems
- Exposure to ML pipelines or feature engineering using PySpark
- Familiarity with data security, governance, and compliance standards
- Experience leading or owning end‑to‑end data solutions
- Prior experience in large enterprise or high‑scale environments
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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