PySpark Big Data Developer

PySpark Big Data Developer

Job Req :

Location(s):
Pune, Maharashtra, India

Job Type: Hybrid

Posted:
Apr. 03, 2026

• Work with a cross‑functional and geographically dispersed team for quality assurance
• Perform end‑to‑end features development of application including requirements understanding, impact analysis, development and execution, production deployment and maintenance
• Work with multiple teams to develop, and execute features
• Work with teams in a collaborative style to engage partners and proactively manage activities

• At least 4+ years’ experience in Python, SQL and PySpark.
• Proficiency in distributed data processing and big data tools and technologies:
  Hadoop, HDFS, YARN, Spark, Hive
• API's and backend development (FASTAPI / FLASK)
• Devops: GIT, CI/CD basics, Linux/Unix commands
• Design, develop, and maintain big data pipelines using Py Spark
• Experience with integration of data from multiple data sources
• Experience in Dev Tools like Open Shift, Team City, uDeploy, Bit Bucket, Git Hub
• Proactively contribute to stability of overall production systems and troubleshoot key components and processes
• Keep track of latest technology trends and proactively learn new technologies driving practical and reference implementations

• Experience with No
  
  SQL databases, such as Elasticsearch
• Understanding of LLMs, prompt engineering, Data query systems (NL to SQL), basic knowledge of vector databases (FAISS, Pinecone etc)

• Bachelor’s degree (preferably in technology / engineering or related field).

• Opportunity for professional development in the international and multicultural organization
• Unique opportunity to participate in global investment banking projects
• Internal and external trainings
• Developing opportunities and challenging assignments
• Attractive and stable employment conditions
• Social benefits (medical care, Benefit System, life insurance, pension scheme)
• Flexible working hours

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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