Informacje o stanowisku

Correct Context is looking for a Data Engineer with Spark 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 have multiple Java + Spark, Scala + Spark, Python + Spark teams and we may try to match you to multiple teams or just find you single best fit depends on your skills and experience.

We offer:

• Real big data projects (PB scale) ?
• An international team (US, PL, IE, CL) ?
• A small, independent team working environment ?‍?
• High influence on working environment
• Hands on environment
• Flexible work time ⏰
• Fully remote or in-office work in Wroclaw, Poland ?
• 12,000 - 22,000 PLN net/month B2B ?
• Private healthcare (PL) ?
• Multikafeteria (PL) ?
• Free parking (PL)?

The recruitment process for the Data Engineer position has following steps:

1. Technical survey - 10min
2. Technical screening - 30 min video call
3. Technical interview - 60-90min video call - this step can be multiplied if we speak to multiple teams (we have multiple teams that you may want to join, your choice)
4. Final Interview - Technical/Managerial - 30 min video call

The candidate must have:

• Solid understanding of Spark basics, building blocks, and mechanics (the deeper the knowledge, the higher the value)
• Strong knowledge of Python, Java, or Scala (with the ability to expand to expert level)
• 1+ years of experience with Spark (commercial not required, deep understanding matters more than years)
• Good SQL skills - not necessarily writing complex queries by hand, but strong knowledge of available tools and approaches to solve data problems
• Understanding of data quality issues in large datasets (inconsistencies, missing data, imbalanced sets, etc.)
• 1+ years of experience with Linux (power-user skills are a big plus; deployment is not required, but Linux knowledge makes your life easier)
• Professional working proficiency in English (oral and written)
• Understanding of HTTP API communication patterns (HTTP/REST/RPC) and protocol itself
• Good software debugging skills (beyond print - using debuggers effectively)
• Deep understanging of at least one technical area (be ready to share your biggest "battle story" about it)
• Solid Git understanding
• Strong communication skills (ability to drive end-to-end projects and mentor team members)

If you dont have all the qualifications, but youre interested in what we do and you have a solid Linux understanding -> lets talk!

Correct Context is looking for a Data Engineer with Spark 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 have multiple Java + Spark, Scala + Spark, Python + Spark teams and we may try to match you to multiple teams or just find you single best fit depends on your skills and experience.

We offer:

• Real big data projects (PB scale) ?
• An international team (US, PL, IE, CL) ?
• A small, independent team working environment ?‍?
• High influence on working environment
• Hands on environment
• Flexible work time ⏰
• Fully remote or in-office work in Wroclaw, Poland ?
• 12,000 - 22,000 PLN net/month B2B ?
• Private healthcare (PL) ?
• Multikafeteria (PL) ?
• Free parking (PL)?

The recruitment process for the Data Engineer position has following steps:

1. Technical survey - 10min
2. Technical screening - 30 min video call
3. Technical interview - 60-90min video call - this step can be multiplied if we speak to multiple teams (we have multiple teams that you may want to join, your choice)
4. Final Interview - Technical/Managerial - 30 min video call

,[ Design, implement, and maintain petabyte-scale big data pipelines using Spark (Java, Python, or Scala - depending on the team), Apache Airflow, Kubernetes, and other technologies , Optimize performance - working with big data is highly specific: sometimes IO-bound, sometimes CPU-bound. You’ll help figure out the most efficient approaches , Collaborate closely with other big data teams , Work with technologies such as AWS, Kubernetes, Airflow, EMR, Hadoop, Linux/Ubuntu, Kafka, and Spark   Requirements: Spark, Java, Scala, Python, Big data, AWS, API Tools: Jira, Confluence, Bitbucket, GIT, Jenkins, Agile, Kanban. Additionally: Remote work, Flexible working hours, Sport subscription, Flat structure, Small teams, International projects, Free parking, Free coffee, Playroom, Modern office, Startup atmosphere, No dress code.

Praca Wrocław

Wrocław - Oferty pracy w okolicznych lokalizacjach