DAT-010 Data Engineer

Toronto, Canada-Wide Remote

Our Client, has a CTV platform powered by mobile data, provides leading brands with the perfect balance between media, data, and technology. Their unique approach to combining mobile data, device location, and consumer behaviors provides brands with more effective targeting and greater prediction accuracy for their mobile and connected TV ad campaigns. Our Client was founded in 2014 by veterans in the mobile and TV industries and is headquartered in Los Angeles.

Our Client also has a product that measures OTT data & provides actionable insights in one easy-to-use platform. Leading brands and agencies use it to measure, analyze and improve their campaigns with proprietary insights.

Job Description: The Data Engineer with passion that can hit the ground running. We are looking for someone with strong hands-on experience in all layers of data integration and analytics. If you’re a self-motivated individual that is team orientated.

Duties & Responsibilities:

  • Data Engineer will translate data into business insights, data cleansing, and ETL.
  • Work with the Data Science team to bring machine learning models into production.
  • Responsible for processing structured and unstructured data, and validating data quality.
  • Developing and supporting data and insight product.
  • Gather requirements from vested teams to build features.
  • Apply knowledge with user interfaces to balance design and function.
  • Focus on performance, throughput, and latency, and drive these throughout our architecture
  • Write test automation, conduct code reviews, and take end-to-end ownership of deployments to production.
  • Work with internal stakeholder on project timeline estimates and complete projects based on deadline.

Requirements:

  • 1 – 3 years of development experience at an Enterprise level in the following tools and languages:
  • Spark Scala
  • python
  • Mysql
  • Apache Parquet

Preferred Pluses

  • Java
  • Advertising Tech Industry experience
  • AWS Services, Hadoop architecture and EMR management
  • Linux
  • Be a team player who works effortlessly with people data
  • Strong experience with digital media
  • Strong experience with relational databases like MySQL. NoSQL databases experience is a plus.
  • Strong background with data modelling, data access, and data storage techniques
  • Experience with design, development, and implementation of highly scalable, high-volume software systems and components, source of truth systems for different business areas.
  • Bachelor’s degree in Computer Science or related field or equivalent combination of industry related professional experience and education

Benefits:

  • Competitive Compensation
  • Health/Medical Benefits
  • Unlimited PTO
  • Monthly Gym/Phone Reimbursement