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Applications Development Sr Programmer Analyst - Python Spark
Citi —Chennai, Tamil Nadu
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish…
6d
Sr. SW Engineer – PySpark | Spark SQL | Scala | Big Data | ETL
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Collaborate with business stakeholders, data analysts, architects, and engineering teams to translate business requirements into scalable technical solutions.

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Applications Development Sr Programmer Analyst - Python Spark

Citi -
Chennai, Tamil Nadu

Apply Now

Job details

Full-time
6 days ago

Qualifications

CI/CD
RDBMS
Performance tuning
Azure
HDFS
Relational databases
Big data
Spark
UNIX
NoSQL
Git
Apache Hive
Databases
SQL
AWS
Project management
Bachelor's degree
Distributed systems
Continuous integration
Linux
JSON
Kafka
Unit testing
Data science
Systems analysis
Python
Debugging
Hadoop

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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

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.

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.

Apply Now

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