- 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
Job Description: 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...
Job Description:
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