| 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 |
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 ...
| 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 |
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