Senior Spark & Big Data Developer - Hybrid

Citi; New York (NY); Hybrid; USD 63,000 - 95,000; Full time

Job summary

Citi in Pune seeks an Intermediate Big Data Spark Developer to design, develop, enhance, and support large-scale data processing solutions.

You will build ETL pipelines, work with Java or Python in a distributed environment, and collaborate with analysts, QA, and stakeholders to deliver scalable solutions. The role emphasizes production support and modernization, with AI-assisted tools for productivity.

Qualifications

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

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.

Skills

Spark expertise

Java

Python

SQL

Distributed computing

Problem solving

Analytical skills

Tools

Databricks

Git

CI/CD pipelines

Job description

Citi in Pune seeks an Intermediate Big Data Spark Developer to design, develop, enhance, and support large-scale data processing solutions.

You will build ETL pipelines, work with Java or Python in a distributed environment, and collaborate with analysts, QA, and stakeholders to deliver scalable solutions. The role emphasizes production support and modernization, with AI-assisted tools for productivity.