Big Data and Apache Spark Developer - Assistant Vice President
Citi (company site, opens in a new tab)8–10 yrsPuneOn-siteDirect career pageEst. 28–45 LPA
Posted 8h ago
Reach people at Citi
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Citi you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and maintain scalable data processing applications and ETL pipelines using Apache Spark, Java, or Python in a distributed data environment.
- Analyze requirements and collaborate with cross-functional teams to deliver production-ready, optimized solutions with strong performance and reliability.
- Leverage AI-assisted development tools for coding, testing, debugging, and documentation while ensuring engineering quality and contributing to modernization and automation initiatives.
Minimum Requirements
- 8-10 years of software development experience.
- Strong hands-on experience with Apache Spark.
- Proficiency in Java or Python; Python experts must understand Java fundamentals (OOP, collections, exception handling, multithreading).
- Experience with SQL and relational databases; understanding of distributed computing and big data processing concepts.
Ideal Candidate Profile
- Experienced Big Data developer with advanced skills in Spark and distributed data processing environments.
- Comfortable integrating AI-assisted development tools critically while maintaining code quality and accountability for deliverables.
- Familiarity with cloud platforms, CI/CD pipelines, Agile methodologies, and preferably Databricks or financial services domain exposure.