Assistant Manager | Risk Tech | Bengaluru | Regulatory & Financial Risk

About the role

Learn more about Risk, Regulatory & Forensic ) We are looking for a skilled Developer with strong expertise in PySpark to design, build, and maintain scalable data processing solutions. The ideal candidate will have experience working across the data engineering stack, strong knowledge of distributed computing, and hands-on exposure to SDLC-based project development.

What you'll do

• Design, develop, and optimize large-scale data pipelines using PySpark
• Build and maintain ETL/ELT workflows to process structured and unstructured data
• Work with big data technologies such as Hadoop ecosystem, Spark, and Impala
• Collaborate with cross-functional teams including data scientists, analysts, and product teams
• Ensure code quality through best practices, code reviews, and version control

What you need

• 4–8 yrs of experience
• ETL
• Spark
• Python
• CI/CD
• Data structures
• Hadoop
• Any graduate

Good to have

• SQL
• SQL Server
• Data warehousing
• C#
• AWS
• GCP