Scala or Python Big Data Engineer/MLops @ Comscore via CC
(práce v Polsku)

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

Polsko

The ideal candidate will have:

• Strong skills in Python or Scala
• Solid knowledge of statistical modeling and algorithms
• Experience with large-scale data frameworks (Apache Spark preferred)
• Proficiency with SQL and data manipulation
• An analytical mindset, bridging statistics and engineering

If you dont have all the qualifications, but think theres a match, lets talk!

Correct Context is looking for a Scala or Python Big Data Engineer/MLops 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 (PB scale) ? 
• International team (US, PL, IE, CL) ? 
• Small, independent teams with high autonomy ?‍? 
• High influence on the working environment 
• Flexible work time ⏰ 
• Fully remote or in-office work in Wroclaw, Poland ? 
• 10,000 - 15,000 PLN net/month (B2B) ? 
• Private healthcare (PL) ? 
• Multikafeteria (PL) ? 
• Free parking (PL) ? 

The recruitment process for the Scala or Python Big Data Engineer/MLops position has 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.

Kategorie

data

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