Description

You will design, build, and maintain scalable data pipelines for KYC/AML and client onboarding domains.

This role is hybrid.

Responsibilities

• Develop and optimize ETL/ELT pipelines using Python and PySpark in big data environments.
• Process large volumes of structured and unstructured data to support client lifecycle management.
• Implement KYC/AML data solutions and ensure reliability of Spark jobs.
• Collaborate with cross-functional agile teams to deliver data products.

Required Skills

• 5+ years of experience as a Data Engineer.
• Strong expertise in Python and PySpark.
• Hands-on experience with Spark, Hadoop, and Kafka.
• Solid knowledge of SQL and NoSQL databases.
• Experience building scalable ETL/ELT pipelines.
• Understanding of KYC/AML and Client Onboarding domains.

Key Skills

Education

Any Graduate