Flinks Senior Data Engineer Role
Summary
Senior Data Engineer builds and maintains Flinks' financial data infrastructure and ML platform, designing ETL pipelines and ensuring reliable datasets for fintech products.
Join Flinks as a Senior Data Engineer and spearhead the data and ML platform's evolution. This role is designed for those who thrive on building production-grade data solutions in a remote setup.
Your expertise will guide the development of the data infrastructure necessary for Flinks' financial products. You'll be instrumental in standardizing data models, maintaining quality, and fostering interdepartmental collaboration. The role offers a unique chance to own and influence key data engineering practices across the company.
Key Responsibilities:
• Own and evolve the ML platform and associated data services
• Ensure high-quality, reliable datasets for products
• Design operational metrics for performance insights
• Standardize engineering practices across product teams
• Collaborate on data contracts and feature integration
Requirements:
• 5+ years of hands-on Data Engineering experience
• Strong proficiency in SQL and Python required
• Expertise in ETL/ELT and data modeling
• Familiarity with GCP tools like BigQuery and Airflow
• Bachelor’s degree in a technical field
Enhance Flinks' capabilities by leveraging your data engineering skills in this pivotal role.