Description

You will design and manage data pipelines and architectures within a Big Data ecosystem.

Responsibilities

• Build and maintain data processing workflows using PySpark and Hadoop.
• Manage large-scale datasets using Hive and PL/SQL.
• Implement and support CI/CD pipelines for data engineering processes.
• Design scalable systems within AWS and Snowflake environments.

Required Skills

• 6+ years of professional experience in data engineering.
• Proficiency with PySpark and Big Data technologies.
• Hands-on experience with Hive and Hadoop.
• Strong PL/SQL skills for database management.
• Experience working with AWS cloud services.
• Practical knowledge of Snowflake.
• Understanding of CI/CD workflows and system design principles.
• Bachelor's degree in any field.

Preferred Skills

• Experience with fund transfer technologies.
• Knowledge of Anti-Money Laundering (AML) processes.

Key Skills

Education

Any Graduate