Data Engineer Intern - Social Integrations

Key Skills

Agile methodologies, Algorithms, Big Data Technology, C++, Data Engineering, Data structuring, Docker, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Python Programming, RDBMS, SQL

Job Description

What You’ll Do

As a Data Engineer Intern, you will work with DoubleVerify’s versatile Engineering and Product teams on mission-critical systems that process multiple billions of real-time transactions a day and solve/address complex challenges with Big-Data processing and analytics at scale.

Responsibilities Will Include

• Research, Conceive and Build Software and Data-Intensive applications that contribute to and extend DoubleVerify’s suite of Social Viewability and Brand suitability measurement products.
• Work on cutting-edge big data technologies to build large-scale batch and streaming pipelines using Cloud and big-data technologies on the Google Cloud Platform.
• Work in multi-functional agile teams with end-to-end responsibility for product development and delivery. Take ownership of the product under the guidance of your mentor and work in tandem with product manager interns.
• Improve data quality through testing, tooling, and automation.
• Help maintain and support mission-critical services. Research, Conceive, and Build a new Operations Console Center by working in tandem with Social Product interns.
• Work in multi-functional agile teams with end-to-end responsibility for product development and delivery. Take ownership of the product under the guidance of your mentor.

Who You Are

• Currently pursuing or received a Bachelor or Master of Science Degree in Computer Science or a related field
• Passionate about Data and a creative problem solver
• You have a deep understanding of data structures and algorithms and experience writing code in languages such as C++, Java, Scala, or Python.
• You have good knowledge of SQL and RDBMS
• Experience with performing data analysis, data ingestion and data integration;
• Experience with cloud technologies (e.g. Kubernetes, Docker, Kafka) a major plus but not required

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