Join Deloitte's Risk, Regulatory & Forensic team as a Management Trainee in Bhubaneswar. This role offers an exciting opportunity to contribute to cutting-edge risk management solutions within the financial services sector.

You will be part of a dynamic team focused on mitigating risks and identifying new avenues for value creation. Our end-to-end risk services cover strategic risks, board oversight, financial and environmental policies, and cyber threat management. This is a chance to build a strong foundation in risk technology.

Key responsibilities involve designing, developing, and optimizing large-scale data pipelines using PySpark. You will build and maintain ETL/ELT workflows, collaborate with cross-functional teams including data scientists and analysts, and ensure code quality through best practices.

Further tasks include optimizing Spark job performance, working on data modeling and pipeline orchestration, and participating in all SDLC activities. Troubleshooting data processing issues, contributing to automation, monitoring, and logging frameworks are also integral parts of this role.

We are seeking candidates with strong hands-on experience in Python and PySpark, along with robust SQL skills for querying and performance tuning. Familiarity with distributed data systems like Hadoop and Spark ecosystem is essential.

Experience with ETL pipeline development, data warehousing concepts, and SDLC methodologies is required. A proactive mindset, strong analytical abilities, and excellent communication and collaboration skills are highly valued. Candidates should possess a Bachelor's degree and ideally have 0-1 years of experience in PySpark development with real-time project delivery.