Description

You will manage and improve ETL data pipelines and data quality processes.

Responsibilities

• Maintain, remediate, and update key ETL data pipelines.
• Analyze and automate remediation processes for sensitive data within Retail Bank.
• Design, develop, and maintain a monitoring tool to manage data quality and remediation.
• Track and establish data linkage across different environments.
• Support the extraction of data for control and compliance requirements during audits.

Required Skills

• 5+ years of professional experience.
• 3-5 years of experience with Python, SQL, and Spark.
• 2-3 years of experience working in AWS environments, specifically S3, Redshift, and EC2.
• 1-2 years of experience using BI tools like Tableau.
• Any Graduate degree.

Key Skills

Education

Any Graduate