Data Delivery Technical Product Manager for Big Data Projects

9 hours ago


Remote Wrocław, Czech Republic Comscore (via CC) Full time

Comscore (via CC) is a global leader in media analytics, revolutionizing insights into consumer behavior, media consumption, and digital engagement.

The company measures and analyzes audiences across diverse digital platforms, delivering accurate data to global businesses and collaborating with industry leaders like Facebook, Disney, and Amazon.

As a trusted partner, Comscore empowers businesses in the digital era across media, advertising, e-commerce, and technology sectors.

Job Description:

We are looking for a skilled Data Delivery Technical Product Owner to join our international team. The ideal candidate will have a deep understanding of data pipelines, data delivery, and Linux as a daily driver.

The successful candidate will design architecture for new workflow and big data pipelines solutions using Airflow, Athena, Trino, Snowflake, MSSQL, AWS S3, and other relevant technologies.

  • Lead technical discussions and decision-making processes.
  • Manage expectations on best practices and architectural direction.

The role involves communicating with coworkers in EST/CET time zones and working closely with stakeholders to ensure alignment with business objectives and stakeholder expectations.

Requirements:
  • Big data experience.
  • Teamwork skills.
  • Proficiency in English.
Benefits:
  • 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.
  • Private healthcare (PL).
  • Multikafeteria (PL).
  • Free parking (PL).
Recruitment Process:
  1. Survey (~ 10 min).
  2. Screening - 30 min.
  3. 2nd Screening - 30 min (optionally).
  4. Interview - 1h-2h (depending on your experience and how fast we can go through some things).
  5. Interview with manager - ~30 min.


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