Big Data and Apache Spark Developer - Assistant Vice President

Citigroup; Pune District; In loco; INR 3.000.000 - 5.000.000; Tempo pieno

Descrizione del lavoro

Citigroup is seeking an Intermediate Big Data Spark Developer to design, develop, enhance, and support large-scale data processing solutions. The role focuses on building scalable ETL pipelines and applying AI-powered development tools to improve productivity and quality, while collaborating with global teams.

The ideal candidate has 8-10 years of software development experience and strong Spark proficiency, with fluency in Java or Python and solid SQL skills for relational databases.

Competenze

• 8-10 years of software development experience.
• Strong hands-on experience with Apache Spark.
• Proficiency in either Java or Python.
• Candidates with Python focus should understand Java fundamentals (OOP, collections, exception handling, multithreading).
• Experience with SQL and relational databases.
• Understanding of distributed computing concepts and big data processing.
• Strong analytical, problem-solving, and debugging skills.

Mansioni

• 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.

Conoscenze

Apache Spark

Java

Python

SQL

Distributed computing

Debugging

Strumenti

Databricks

Git

CI/CD

Descrizione del lavoro

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 financia