Staff Data Engineer

Samsung•Mountain View, CA

44d•$190,000 - $215,000

About The Position

Staff Data Engineer: Samsung Ads is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients. We seek a talented Staff Data Engineer to play a pivotal role in enhancing our platform’s performance advertising capabilities. As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness.

Requirements

Bachelor’s or master’s in computer science, Data Science, or a related field.
Requires at least 8 years of related experience and a bachelor’s degree; or 6 years and a master's degree; or a PhD with 3 years
Proven experience in delivering data engineering solutions in ad tech industry.
Strong programming skills in Python, Java, and Scala.
Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)
Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).
Hands-on experience with orchestration tools like Airflow or similar
Solid understanding of statistical concepts and experience with relevant tools.
Excellent problem-solving and communication skills.

Nice To Haves

Experience with RESTful API.
Experience with Golang
Familiarity with real-time data processing and streaming technologies.
Knowledge of end-to-end digital advertising ecosystems and industry standards.
Knowledge of Snowflake and related technologies

Responsibilities

Develop and implement advanced data solutions supporting billing, reporting and any other systems within the team’s scope.
Collaborate with data scientists, product managers, and other engineers to refine and improve data processes.
Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of data.
Work closely with stakeholders to understand and translate business requirements into technical solutions.
Conduct A/B testing and performance analysis to validate and iterate on data processes.
Stay updated on industry trends and emerging technologies related to data engineer and ad tech.