Brazil, Brazil
March 15, 2023
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Since 2010, the company has been the leader in 360-degree consumer intelligence, real-time marketing and attribution for thousands of major brands. Through our data-driven advertising suite, brands can build targeted audiences, activate real-time, omni-channel campaigns and measure their success in driving real-world visits and sales.
Tasks
Join one of the fastest growing teams at at the company as a Big Data Platform Engineer. You will be joining the measurement team who provides solutions for premier clients like: Dunkin Donuts, Home Depot and many others. You will develop and implement machine learning models and algorithms to empower internal/external customers and solve business problems. You will work closely with data scientists to develop the models, work with data engineers for pipeline dependencies and ultimately implement into the codebase. You will work with large data sets, ETLs and our analytics platform to fuel report generation and drive growth.
Your daily Impact as a Big Data Platform Engineer - Measurement:
Tasks
Join one of the fastest growing teams at at the company as a Big Data Platform Engineer. You will be joining the measurement team who provides solutions for premier clients like: Dunkin Donuts, Home Depot and many others. You will develop and implement machine learning models and algorithms to empower internal/external customers and solve business problems. You will work closely with data scientists to develop the models, work with data engineers for pipeline dependencies and ultimately implement into the codebase. You will work with large data sets, ETLs and our analytics platform to fuel report generation and drive growth.
Your daily Impact as a Big Data Platform Engineer - Measurement:
- Design and implementation of data driven initiatives such as Big Data analytics
- application development and architecture using Spark, Scala and GCP
- Be responsible for the End to End of the product - modeling, backend system design,
- implementation, AB testing, and rollout.
- Collaborating in a team environment across all functions, including but not limited to
- engineers, product managers, data scientists, operations.
- Background in SQL
- Strong coding skills in Scala, Python
- Experience with ML and Statistical concepts including trade offs of various types of
- models
- Experience with Spark.
- Cloud experience, AWS and/or GCP
- Experience dealing with hundreds of Terabytes of data
- Experience with building and optimizing large scale and high-performance systems
- Strong collaboration and communication skills within and across teams.
- B.S. or M.S. in Computer Science or a related field
- At least 3 years ML Engineer or Data Engineer experience
- Familiarity with the digital media / advertising industry is a plus
- Airflow experience is a plus
