Big Data and Apache Spark Developer - Assistant Vice President
At a glance
VP-level Data Engineering role at Citi. Pune Maharashtra India · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Apache Spark applications that process large datasets through ETL and transformation pipelines
- Write and support distributed data applications in Java or Python, then investigate production faults and improve performance
- Turn requirements into working solutions with business analysts, QA teams and other stakeholders
- Review code with teammates and contribute to modernization, migration and automation work
- Use AI-assisted coding tools, checking their suggestions for correctness, security and maintainability
What you bring
- You have eight to ten years of software development experience and strong practical Apache Spark skills
- You can develop in Java or Python; Python-focused candidates also need working knowledge of Java fundamentals
- You have used SQL and relational databases and understand distributed computing and big data processing
- You bring strong analytical, debugging and problem-solving ability
Who this fits
This suits an experienced developer focused on Spark-based data processing and application development. The role is hybrid in India and described as intermediate-level.
From the employer
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.
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:
- 8-10 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
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:
- 8-10 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
------------------------------------------------------
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.
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.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.