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Big Data and Apache Spark Developer - Assistant Vice President

Citicorp Services India Private Limited

Full time Hybrid
Experience
8–10 years
Location
India
Work mode
Hybrid
Salary
₹11L – ₹24L a year estimatetypical for IT Jobs in India, 962 posts
Posted 7 days ago Last checked 9 hr ago

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Role at a glance

You will
  • 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.
Experience
8–10 years
Must-have skills
AgileApache SparkCI/CDData EngineeringDatabricksGit
Work mode
Hybrid

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Job description

Location: Pune Maharashtra India, India

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](https://www.citigroup.com/citi/accessibility/application-accessibility.htm).*

*View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster.*

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

AgileApache SparkCI/CDData EngineeringDatabricksGitJavaObject-Oriented Programming (OOP)Python

Preferred

Regulatory Reporting

Soft skills

AccountabilityGrowth MindsetProblem Solving

Job market insights

2,146active Agile jobs in India
294active Apache Spark jobs in India
2,444active CI/CD jobs in India
₹11L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 962 posts that show a salary; median ₹17L)

Jobs asking for Agile in India also ask for

  • CI/CD31%
  • Scrum30%
  • SQL25%
  • Python25%
  • AWS24%

From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Big Data and Apache Spark Developer - Assistant Vice President job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 962 posts).

How much experience does this job need?

The post asks for 8–10 Yrs experience.

What kind of job is this?

It is a full time job.

This guide is for Indian job seekers preparing for Java backend roles, from freshers facing campus and first-job interviews to experienced developers moving into senior positions at product companies and IT services firms. It covers what interviewers ask most in 2025 and 2026 on Java 17 and 21 and Spring Boot 3: OOP, collections, equals and hashCode, streams, exceptions, concurrency and JVM memory, then dependency injection, auto-configuration, REST controllers, validation, JPA and Hibernate, security, microservices and testing. Questions are grouped as easy, medium and hard. Read each answer, compile the code yourself and practise explaining it aloud.

Questions you may be asked

  1. What are the four pillars of OOP, with a Java example of each?
  2. What is the difference between an abstract class and an interface in Java?
  3. What is the difference between method overloading and method overriding?
  4. What is the difference between == and equals() in Java?

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