Data Engineer - MoneyLion

The role

You will design, implement and optimize a Snowflake-centric architecture. You will design and implement complex data pipelines and data models for analytical consumption using Python and/or Java.

What you will do

• Operate and optimize a modern data warehousing solution
• Work with Apache Kafka, real-time data processing, and event-driven architectures
• Collaborate with data scientists, business analysts, product managers, software engineers and other data engineers
• Build and maintain data pipelines from internal databases and SaaS applications
• Implement solutions for data governance at scale
• Advocate best practices and code maintainability
• Coach and mentor junior engineers
• Manage senior stakeholders from external departments

Required qualifications

• Bachelor's degree in computer science, Data Engineering, or related technical field
• 1-4 years of hands-on data engineering experience in large-scale, high-volume environments
• Expert-level proficiency in SQL optimization for multi-petabyte datasets
• Advanced Python programming
• Experience with Snowflake architecture, optimization, and cost management at enterprise scale
• Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures, or equivalent experience with thoughtful, non-generic projects
• Advanced experience with AWS cloud infrastructure
• Experience with either DBT or SQLMesh for data transformations
• Experience in planning day to day tasks, knowing how and what to prioritise and overseeing their execution

Nice to have

• Familiarity with AWS is a big plus
• Snowflake preferred

Before you apply

• Online Preliminary Codility test
• Recruiter Screening Call
• Take-home Assessment
• Take Home Discussion (Virtual)
• Interview - Hiring Manager (Virtual or face-to-face)

About the company

The Kuala Lumpur office is the technology powerhouse of MoneyLion. It is part of Gen Digital.