Citi

Citi

Posted via Workday

Bigdata Spark Developer

Apply by Oct 19, 2026

Posted Oct 15, 2026

Role at a glance

Job function
AI & Data Data Engineering
Salary
Not Disclosed
Location
Pune Maharashtra India
Work arrangement
Hybrid
Employment
Full-time
Experience
Mid Level 5-7 years of software development experience.

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Role Summary

AI-generated

The Intermediate Big Data Spark Developer designs, develops, tests, and supports large-scale data processing applications using Apache Spark with Java or Python. The role also involves building ETL pipelines, collaborating with stakeholders, and improving application performance and engineering quality.

What You'll Do

  • Design, develop, test, and maintain Apache Spark data processing applications.
  • Build scalable ETL and data transformation pipelines for large datasets.
  • Analyze requirements and collaborate with business analysts, QA teams, and stakeholders.
  • Troubleshoot production issues and optimize application performance.
  • Participate in code reviews and follow engineering best practices.
  • Contribute to application modernization, migration, and automation initiatives.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

5-7 years of software development experience; strong hands-on Apache Spark experience; proficiency in Java or Python (if Python is the primary expertise, understanding of Java fundamentals including OOP concepts, collections, exception handling, and multithreading basics); SQL and relational databases; distributed computing and big data processing; analytical, problem-solving, and debugging skills. Ability and willingness to use AI-assisted development tools, review and validate AI-generated solutions, and maintain accountability for deliverables.

Preferred

  • Experience with Databricks.
  • Exposure to cloud platforms and modern data engineering practices.
  • Knowledge of regulatory reporting or the financial services domain.
  • Experience with Spark performance tuning.
  • Familiarity with data lake architectures.
  • Experience leveraging AI tools such as Copilot or similar developer productivity solutions.

Original job description

Content provided by the employer

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.
  • 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.


Required Skills:

  • 5-7 years of software development experience.
  • Strong hands-on experience with Apache Spark.
  • Proficiency in either Java or Python.
  • Candidates with primary expertise in Python should also have a good understanding of Java fundamentals (OOP concepts, collections, exception handling, multithreading basics).
  • Experience working with SQL and relational databases.
  • Experience with CI/CD pipelines, Git, and Agile development methodologies.
  • Understanding of distributed computing concepts and big data processing.
  • Strong analytical, problem-solving, and debugging skills.

 

 

Good to Have

  • Experience with Databricks.
  • Exposure to cloud platforms and modern data engineering practices.
  • Experience with CI/CD pipelines, Git, and Agile development methodologies.
  • Knowledge of regulatory reporting or financial services domain is a plus


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.


We are seeking an Intermediate Big Data Spark Developer to design, develop, enhance, and support large-scale data processing solutions.


The ideal candidate is a strong Spark developer with proficiency in Java or Python, a solid understanding of distributed data processing, and a growth mindset toward adopting modern AI-powered development practices. They should be able to combine the productivity gains offered by AI tools with sound technical judgment, ensuring solutions are accurate, scalable, maintainable, and production-ready.


Key Responsibilities:

  • Design, develop, test, and maintain data processing applications using Apache Spark.
  • Build scalable ETL and data transformation pipelines for large datasets.
  • Develop and support applications using Java or Python in a distributed data environment.
  • Analyze requirements and collaborate with business analysts, QA teams, and stakeholders to deliver solutions.
  • Troubleshoot production issues and optimize application performance.
  • Participate in code reviews and follow engineering best practices.
  • Contribute to application modernization, migration, and automation initiatives.
  • Leverage AI-assisted development tools to improve productivity and quality.

Required Skills:

  • 5-7 years of software development experience.
  • Strong hands-on experience with Apache Spark.
  • Proficiency in either Java or Python.
  • Candidates with primary expertise in Python should have a good understanding of Java fundamentals (OOP concepts, collections, exception handling, multithreading basics).
  • Experience working with SQL and relational databases.
  • Understanding of distributed computing concepts and big data processing.
  • Strong analytical, problem-solving, and debugging skills.

Preferred Skills:

  • Experience with Databricks (highly desirable).
  • Exposure to cloud platforms and modern data engineering practices.
  • Experience with CI/CD pipelines, Git, and Agile development methodologies.
  • Knowledge of regulatory reporting or financial services domain is a plus.

AI Mindset & Engineering Excellence

  • Demonstrated ability and willingness to adopt AI-assisted development tools (e.g., GitHub Copilot, Devin, Databricks Assistant, or similar) to improve productivity, code quality, and delivery efficiency.
  • Ability to effectively leverage AI-generated recommendations for coding, testing, debugging, documentation, and analysis while maintaining accountability for final deliverables.
  • Strong engineering judgment to critically review, validate, and optimize AI-generated code and solutions rather than relying solely on tool outputs.
  • Capable of identifying potential functional, performance, security, and maintainability issues in AI-assisted implementations and making appropriate corrections.
  • Passion for continuous learning and staying current with emerging AI technologies and software engineering best practices.

Nice to Have:

  • Experience with Spark performance tuning.
  • Familiarity with data lake architectures.
  • Experience leveraging AI tools such as Copilot or similar developer productivity solutions.

This role offers an opportunity to work on large-scale data platforms, modernization initiatives, and business-critical applications while collaborating with global team

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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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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.

Citi

About the company

Citi

Large Enterprise

Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.