Data Engineer ML Platform

Position: Data Engineer for ML Platform at Flinks
Transform financial data experiences as a Data Engineer at Flinks, focusing on machine learning and reliability in a cloud-based environment. Engage with cutting-edge technologies in a remote role.

In this Senior Data Engineer position, you will own the development of Flinks' data and ML infrastructure, ensuring optimal performance and scalability. You'll create and improve data pipelines, standardize data practices, and collaborate with data scientists and product teams to facilitate product delivery. This role is perfect for those eager to innovate in financial technology.

Key Responsibilities:

• Lead the evolution of the data platform using Big Query and Cloud Composer

• Develop training pipelines in Kubeflow and manage model serving

• Enhance data quality and operational metrics across products

• Design scalable data workflows for financial analytics

• Foster collaboration across teams to improve data utilization

Requirements:

• 5+ years of Data Engineering experience in cloud environments

• Expert in SQL and competency in Python for data solutions

• Experience with ETL processes and data modeling

• Familiarity with monitoring and operational excellence in data systems

• Bachelor's degree in a relevant technical field

Bring your expertise in data engineering to empower Flinks with actionable financial insights.
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