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Bigdata Developer with PySpark

https://www.citi.com/ Logo

Citi

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Location:
India , Pune

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Applications Development Intermediate 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.

Job Responsibility:

  • Develop and maintain data pipelines: Design, develop, and optimize scalable ETL (Extraction, Transformation, Loading) pipelines using PySpark to process large datasets
  • Coding and software engineering: Write clean, efficient, well-documented code primarily in Python (PySpark) and Java, often utilizing frameworks like Spring Boot
  • Collaboration and communication: Work with cross-functional teams, including senior developers, data engineers, analysts, and business partners, to understand data requirements and ensure seamless integration of solutions
  • Troubleshooting and optimization: Debug and resolve data processing issues and performance bottlenecks in Spark applications and other big data technologies
  • Full lifecycle involvement: Participate in the entire software development lifecycle (SDLC), from requirements analysis and design to testing, deployment, and operations, often using Agile/Scrum methodologies
  • Data integrity and quality: Ensure data quality and integrity throughout the data lifecycle

Requirements:

  • 4-8 years of relevant experience in the Financial Service industry
  • Intermediate level experience in Applications Development role
  • Consistently demonstrates clear and concise written and verbal communication
  • Demonstrated problem-solving and decision-making skills
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Bachelor’s degree/University degree or equivalent experience
  • Strong understanding of Core Java and Object-Oriented Programming (OOP) concepts
  • Proficiency in Python, specifically for PySpark development
  • Hands-on experience or familiarity with Apache Spark (PySpark), Hadoop, and related ecosystem components like Hive and Sqoop
  • Basic knowledge of SQL and relational databases
  • Experience writing queries to validate and manipulate data
  • Familiarity with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
  • Understanding of version control systems (e.g., Git)
  • Experience with development and testing tools (e.g., JIRA, Confluence)

Nice to have:

  • Knowledge of distributed NoSQL databases (e.g., Elasticsearch, Cassandra, MongoDB) is a plus
  • Familiarity with DevOps practices and CI/CD pipelines is a bonus

Additional Information:

Job Posted:
January 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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