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Description:
We are seeking an experienced and visionary Lead Data Engineer to join our Stellar team.
As the Lead Data Engineer, you will be a key player in designing and implementing the robust data infrastructure to power our data-heavy company.
You will collaborate with cross-functional teams to build core data pipelines, store data in optimal engines and formats, and feed our machine-learning models.
This is an individual contributor role with the potential to lead.
You will work closely with our VP of Technology to define and implement a strategic vision for data engineering within the organization.
Your expertise in Spark and Scala will be critical for success.
Our client is a CTV advertising platform purpose-built for performance marketers, leveraging massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.
The solution combines media buying, optimization, measurement, and attribution in one efficient platform, built by industry leaders in programmatic advertising, digital media, and ad verification.
Requirements:
You must have experience in designing and implementing robust data infrastructure using Spark with Scala.
You should be able to collaborate with cross-functional teams to design data solutions that meet business needs.
You need to build out core data pipelines, store data in optimal engines and formats, and feed machine-learning models.
Proficiency in leveraging and optimizing AWS resources is required.
You must be able to collaborate closely with the Data Science team.
Benefits:
The position offers the opportunity to work in a fully remote environment.
You will be part of a dynamic team that is focused on innovation and performance in the advertising technology space.
There is potential for career growth and leadership opportunities within the organization.
You will have the chance to work with cutting-edge technology and contribute to impactful projects in the CTV advertising industry.