CTV advertising
SoftwareEngineerII,BigData
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer II, Big Data at Pinterest. Skills: Data Engineering, AWS, Spark, Scala. Design data infrastructure. Implement data infrastructure”
What You'll Achieve.
Successful design and implementation of scalable and efficient data infrastructure; Timely delivery and optimization of data assets and APIs; High attention to detail in implementation of automated data quality checks; Effective collaboration with cross-functional teams
Industry & Context.
Critical evaluation; Analytical skills
What They're Looking For.
Must Have
Production data engineering experience, Proficiency in Spark and Scala, Experience in delivering significant technical initiatives, Experience building reliable, large scale services, Experience in delivering APIs backed by relationship-heavy datasets, Proficiency in AWS services, Expertise in SQL for data manipulation and extraction, Excellent written and verbal communication skills, Bachelor's degree in Computer Science or a related field, Demonstrated ability to use AI to improve speed and quality, Track record of critical evaluation and verification of AI-assisted work, High integrity and ownership
Nice to Have
Proven experience building data infrastructure in Spark using Scala, Familiarity with data lakes, cloud warehouses, and storage formats, Experience in adtech, Experience implementing data governance practices, Understanding of privacy-by-design principles, Familiarity with data table formats like Apache Iceberg, Delta, Previous experience building out a Data Engineering function, Proven experience working closely with Data Science teams on machine learning pipelines
What You'll Do.
Design data infrastructure
Implement data infrastructure
Evolve data pipelines
Design data solutions
Implement knowledge graphs
Expose graph functionality
Leverage AWS resources
Optimize AWS resources
Collaborate with Data Science
Collaborate with Product teams
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with Data Science teams; Collaborate with Product teams
Communication Scope
Excellent written communication skills; Excellent verbal communication skills
Full Job Description
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal eng
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