Description

Job Description:

• Bachelor’s degree in related field.
• 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.
• 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

Key Skills

Education

Any Graduate