Added: 2025-05-26 13:26.00
Updated: 2025-05-30 03:36.42

Scala or Python Big Data Engineer/MLops @ Comscore via CC

n/a, Poland

Type: n/a

Category: IT & Internet & Media

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Requirements: English
Company: Comscore via CC

Correct Context is looking for aScala or Python Big Data Engineer/MLopsfor 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:

The recruitment process fortheScala or Python Big Data Engineer/MLopspositionhas the following steps:

  1. Technical survey ~ 10min
  2. Technical screening - 30 min
  3. Technical interview - 1h-2h (depending on your experience and how fast we can go through some things)
  4. Interview with manager - ~30 min

The ideal candidate will have:

If you don''t have all the qualifications, but think there''s a match, let''s talk!

Correct Context is looking for aScala or Python Big Data Engineer/MLopsfor 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:

The recruitment process fortheScala or Python Big Data Engineer/MLopspositionhas the following steps:

  1. Technical survey ~ 10min
  2. Technical screening - 30 min
  3. Technical interview - 1h-2h (depending on your experience and how fast we can go through some things)
  4. Interview with manager - ~30 min
,[Translate statistical prototypes into scalable, production-ready solutions, Optimize and validate algorithms handling millions of records, Develop APIs and data pipelines using Apache Spark, Iceberg, and AWS, Collaborate closely with analytics teams to ensure data integrity] Requirements: Scala, Python, Big Data Tools: GIT. Additionally: Private healthcare, Remote work, Flexible working hours, Flat structure, Free parking, Free coffee, Playroom, No dress code, Startup atmosphere, Modern office.
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