
Junior Linux Engineer in Big Data Validation @
2 days ago
An ideal candidate would have:
- A solid foundation in Python programming, future proficiency in SQL, and a solid basic understanding of statistical concepts. Python programming, proficiency in SQL, and a basic understanding
- Knowledge of testing methodologies and practical experience in API testing and data testing
- Experience in testing large datasets is advantageous
- Linux operations are a considerable advantage
- Previous experience in a Data QA role is a plus
- Utilize statistical fundamentals (mean, standard deviation, quartiles) with a practical understanding of those concepts
If you think you're a good fit, but don't meet all the qualifications, let's talk
Correct Context is looking for a Junior Linux Engineer in Big Data Validation 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.
As Engineer you will be part of QA team that is designing and implementing solutions for high volume data processing and high volume data processing validation (also using AI internal and external tools). Work closely with AI and data engineering teams on making sure Quality of data, tools and operations are in line with objectives.
We offer:
- Real big data projects, petabytes scale
- An international team
- A small, independent team working environment
- Fully remote or in-office work in Wroclaw, Poland
- 6,000 - 8,000 PLN net/month B2B / UZ
- Multikafeteria
- Private healthcare
- Free parking
The recruitment process for the Junior Linux Engineer in Big Data Validation position has following steps:
- Technical screening - 30 min
- Technical interview - 1h-2h
- Interview with Manager - ~30 min
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