Bigdata Spark Developer
Citi (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 18–28 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and maintain large-scale data processing applications and ETL pipelines using Apache Spark.
- Collaborate with business analysts, QA teams, and stakeholders to deliver scalable, production-ready solutions in Java or Python environments.
- Leverage AI-assisted development tools to improve productivity and participate in application modernization and automation initiatives.
Minimum Requirements
- 5-7 years of software development experience.
- Strong hands-on experience with Apache Spark.
- Proficiency in Java or Python; Python experts must understand Java fundamentals including OOP, collections, exception handling, and multithreading.
- Experience with SQL and relational databases; understanding of distributed computing and big data processing concepts.
Ideal Candidate Profile
- Experience working in distributed data environments with scalable ETL and data transformation pipelines.
- Comfortable applying AI-assisted tools critically and effectively within software development cycles.
- Familiarity with cloud platforms, Databricks, CI/CD pipelines, Git, Agile methodologies, and optionally financial services domain knowledge.