Description

Design and maintain data systems for digital transformation, translating client requirements into system specifications and project timelines.

This role is on-site.

Responsibilities

• Build and optimize ETL processes using PySpark, Spark SQL, and Databricks.
• Provide L3 support for data systems and maintain internal knowledge management.
• Collaborate with stakeholders to ensure service delivery meets architectural requirements.
• Translate business needs into detailed technical specifications and accurate timelines.

Required Skills

• 12+ years of experience in Big Data environments.
• Proficiency in PySpark, Spark, and Spark SQL.
• Hands-on experience with ETL processes and data pipeline development.
• Strong expertise in Hive, Hadoop, and Databricks.
• Advanced SQL skills using Oracle and PL/SQL.
• Proven experience in L3 support roles for data systems.
• Experience working with fund transfer technologies.

Preferred Skills

• Knowledge of Anti-Money Laundering (AML) processes.

Bachelor's Degree required.

Key Skills

Education

Bachelor's Degree