Data Engineer - Python/PySpark

Job Requirements*

- 3 6 years of experience as a Data Engineer with strong Python and PySpark expertise

- Experience building scalable ETL/ELT pipelines in big data environments

- Strong understanding of KYC/AML and Client Onboarding domains

- Hands-on experience with Spark, Hadoop, Kafka, and cloud platforms

- Solid knowledge of SQL and NoSQL databases

Key Responsibilities*

Design, develop, and maintain scalable data pipelines

- Process large volumes of structured and unstructured data

- Implement KYC/AML data solutions supporting client lifecycle management

- Optimize Spark jobs for performance and reliability

- Collaborate with cross-functional agile teams and stakeholders