Big Data Developer (Media Evaluation sphere)

Company Background

Our client is the company which pioneers the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners.


It is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, its platform allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence.

Project Description

You’ll be responsible for building next generation data delivery platform. Our application is the main television data processor and supplier for a broad range of clients and products, including industry leading ad agencies, national television networks and other products. As a member of this fast-moving team you’ll have large impact on the evolution and adoption of the data processing as well as on the success of the business. It’s worth mentioning that this company processes and stores dozens of petabytes of data which is coming from TV/Web and their current infrastructure processes 15 bln requests per day.

What You’ll Do
  • Work within an agile team to develop new ETL processes;
  • Recommend and implement creative solutions for performance improvement;
  • Increase scalability and maintainability to support rapid usage growth;
  • Collaborate openly with stakeholders and clients to continuously improve the product and increase adoption;
Java 8+
Apache Spark
Apache Airflow
Apache Parquet
Job Requirements
  • Experience in Java development, having worked with ETL (ELT) would be beneficial;
  • Experience in Apache Spark;
  • Experience building, deploying and managing application in AWS is preferred;
  • Experience with functional languages like Scala would be a benefit;
  • Strong SQL skills nice to have;
  • Knowledge of English (Intermediate at least);
  • Strong communication skills (written and verbal) along with a track record of success delivering large software projects;
  • Demonstrated knowledge of commonly used software engineering concepts, practices, and procedures;
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