Join our dynamic Risk Tech team at Deloitte as an Assistant Manager in Bengaluru. You'll contribute to mitigating risk and creating value through innovative solutions. This role is ideal for experienced professionals passionate about leveraging technology in the financial and regulatory risk domain.

Design and optimize large-scale data pipelines using PySpark, build and maintain ETL/ELT workflows, and work with big data technologies like Hadoop and Spark. You will collaborate with cross-functional teams, ensure code quality through best practices and code reviews, and optimize job performance. Responsibilities also include data modeling, participating in the full SDLC, troubleshooting data processing issues, and contributing to automation frameworks.

We are seeking candidates with strong hands-on experience in Python and PySpark, along with robust SQL skills for querying and performance tuning. Essential qualifications include experience with distributed data systems (Hadoop, Spark ecosystem), Impala, Hive, and relational databases. A solid understanding of data structures, algorithms, performance optimization, and ETL pipeline development is crucial. Familiarity with SDLC methodologies (Agile/Scrum), Git, and cloud platforms (Azure, AWS, GCP) is preferred.