Join Deloitte as an Assistant Manager in Risk Tech, focusing on Regulatory & Financial Risk. This role is based in Bengaluru's Eco space. You will be part of a dynamic team within Deloitte Strategy, Risk & Transaction, dedicated to helping entities navigate risks and unlock new value.

Our services cover a wide spectrum, from strategic C-suite risks to board oversight, financial and environmental policies, and cyber threats. This is an opportunity to contribute to a leading firm with a comprehensive approach to risk management.

Design, develop, and optimize large-scale data pipelines using PySpark, building and maintaining ETL/ELT workflows for diverse data types. You will leverage big data technologies like Hadoop, Spark, and Impala, collaborating closely with data scientists, analysts, and product teams.

Key duties include ensuring code quality through rigorous best practices and code reviews, optimizing Spark job performance, and participating in end-to-end SDLC activities. Troubleshooting data processing issues and contributing to automation, monitoring, and logging frameworks are also integral to this role.

We are seeking a skilled Developer with a minimum of 4-8 years of hands-on PySpark experience and a Bachelor's degree in any specialization. Strong expertise in Python, PySpark, and advanced SQL, including performance tuning, is mandatory.

Familiarity with distributed data systems such as Hadoop and the Spark ecosystem is essential. Experience with Impala, Hive, or other relational databases, along with a solid understanding of data structures, algorithms, and ETL pipeline development, is required. Knowledge of SDLC methodologies and version control systems like Git is also necessary.