Description

You will lead data engineering efforts, focusing on integration and warehousing solutions across complex data flows.

This role is on-site.

Responsibilities

• Own ETL development and implementation for complex data pipelines.
• Guide technical initiatives and coach developers on best practices.
• Analyze, propose, and implement effective solutions for data issues.
• Manage multiple priorities within a geographically dispersed environment.

Required Skills

• Minimum 12 years of solid data engineering experience.
• Minimum 5 years of project lead experience in a matrixed organization.
• Expertise in ETL Development, MS SQL Server Database, T-SQL, and SSIS.
• Proficiency with data warehousing and Operational Data principles.
• Experience with Agile/Scrum delivery environments.
• Demonstrated proficiency in GCP cloud-based technologies.
• Minimum 3 years working in the financial services industry.
• Experience with Python coding skills.
• Experience with dev tools such as GitHub, Bamboo, and Liquibase.

Preferred Skills

• Masters or bachelor’s degree in computer science.

Key Skills

Education

Masters or bachelor’s degree in computer science