Data Engineer (Python/AWS)

TL;DR

Data Engineer (Python/AWS): Building and maintaining scalable data infrastructure and pipelines to power data products with an accent on cloud migration and data modeling. Focus on designing robust ingestion processes, optimizing cloud-based architectures, and translating business needs into technical data solutions.

Location: Hybrid in Cyberjaya, Malaysia

Company

Global data and technology company specializing in credit solutions, fraud prevention, and analytics, listed on the London Stock Exchange.

What you will do

• Design and build scalable data pipelines to ingest and process large volumes of data.
• Develop complex data models to support client-facing teams and product features.
• Lead and support the migration of data infrastructure from on-premise to cloud environments.
• Collaborate with stakeholders to translate business requirements into technical data solutions.
• Implement and maintain optimal cloud-based architectures to support data products.
• Manage the full lifecycle of data processes from ideation to deployment and maintenance.

Requirements

• Hands-on experience with AWS and Azure cloud platforms.
• Strong proficiency in Python and advanced SQL.
• Experience with Dagster, DBT, Snowflake, and SQL Server.
• Deep understanding of conceptual, logical, and physical data modeling for OLTP and OLAP systems.
• Familiarity with Terraform, CI/CD pipelines, Git, Docker, ECR, and EKS.
• Excellent collaboration skills for working with cross-functional teams.

Culture & Benefits

• Strong focus on DEI, authenticity, and equal opportunity.
• Emphasis on work-life balance and employee wellness.
• Collaborative environment with a start-up mindset within a global corporation.
• Reward and recognition programs and professional development opportunities.
• Award-winning organizational culture (Great Place To Work, Top Employer).