Data Engineering Professional

1 week ago


Toronto, Ontario, Canada Fluent, LLC Full time
About Fluent

At Fluent, we're revolutionizing the advertising industry with cutting-edge technology and innovative solutions. Our goal is to build a seamless and relevant experience for online shoppers, leveraging machine learning and artificial intelligence to drive business growth.

Job Overview

We're seeking an experienced Data Engineer to join our team, focusing on building robust data pipelines using Databricks. As a key member of our engineering team, you'll work closely with data scientists and engineers to design and implement scalable data solutions that drive business insights and decisions.

Responsibilities
  • Develop, deploy, and maintain large-scale data pipelines on Databricks, ensuring seamless integration with feature stores and machine learning models.
  • Investigate and leverage Databricks' capabilities to implement real-time data processing and streaming, utilizing Spark Streaming and Delta Live Tables.
  • Collaborate with data science and reporting teams to understand data requirements and translate them into actionable models.
  • Stay up-to-date with emerging trends and technologies within the Databricks ecosystem, sharing knowledge through brown bags, tech talks, and evangelism.
Requirements
  • Bachelor's or Master's degree in Computer Science or related field.
  • 3+ years of industry experience in Data Engineering, including expertise in Spark and SQL.
  • 1+ years of experience working with Databricks environment.
  • Nice to have: Familiarity with real-time ML systems within Databricks will be highly beneficial.
Benefits
  • Competitive salary range: $120,000 - $160,000 CAD per annum.
  • Ample career and professional growth opportunities.
  • New Headquarters with an open floor plan to foster collaboration.
  • Health, dental, and vision insurance.
  • Pre-tax savings plans and transit/parking programs.
  • 401K with competitive employer match.
  • Volunteer and philanthropic activities throughout the year.


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