Big Data Engineer (Spark or Flink + Scala/Kotlin/Java)
About this role
Correct Context is looking for a Big Data Engineer (Spark or Flink + Scala/Kotlin/Java) for Comscore in Poland and around.
Comscore is a global leader in media analytics, revolutionizing insights into consumer behavior, media consumption, and digital engagement.
Comscore leads in measuring and analyzing audiences across diverse digital platforms. Thrive on using cutting-edge technology, play a vital role as a trusted partner delivering accurate data to global businesses, and collaborate with industry leaders like Facebook, Disney, and Amazon. Contribute to empowering businesses in the digital era across media, advertising, e-commerce, and technology sectors.
We offer:
Real big data projects at petabyte scale 🚀
An international environment (US, PL, IE, CL) 🌎
A small, independent team working environment 🧑💻
High influence on the working environment
Hands-on engineering work
Flexible work time ⏰
Fully remote or in-office work in Wroclaw, Poland 🏢
18,000 - 25,000 PLN net/month B2B 💰
Private healthcare (PL) 🏥
Multikafeteria (PL) 🍽️
Free parking (PL) 🚗
As a Big Data Engineer, you'll:
Design and build end-to-end big data processing pipelines and client-facing HTTP APIs that serve the data
Develop and debug petabyte scale systems with Scala ZIO/Tapir and Spark/AWS/EMR/Airflow/Iceberg/Trino/Superset/PostgreSQL/Redis
Conduct proofs of concept for enhancements
The candidate must have:
Strong experience debugging and optimizing big data pipelines, with a solid understanding of performance characteristics and bottlenecks, plus proven ability to design and build efficient data pipelines using Spark, Flink, or similar tools
Strong experience in any JVM language: Scala/Java/Kotlin
Experience building systems in AWS or another cloud
No language barrier in English to work effectively in an international team
Proficiency in communicating technical design concepts and choices
If you do not have all the qualifications, but you think there is a match, let's talk.
The recruitment process for the Big Data Engineer position has the following steps:
Technical survey - about 10 min
Technical screening - 30 min
Technical interview - 60-90 min
Interview with manager (optional) - 30-60 min
Company at a glance
Comscore (NASDAQ: SCOR) is a global, trusted partner for planning, transacting and evaluating media across platforms. With an unmatched data footprint that combines digital, linear TV and over-the-top viewership intelligence with advanced audience insights, Comscore empowers media buyers and sellers to quantify their multiscreen behavior and make meaningful business decisions with confidence. A proven leader in measuring digital and TV audiences and advertising at scale, Comscore is the industry's emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.
Top Benefits
- Private Healthcare
- Multikafeteria
- Free Parking
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