Data Operations Specialist

hace 2 días

Madrid Centro, Madrid, España Havas Group A tiempo completo

Job Title: Data Operations Specialist

Company: Havas Group

Department: Middle Office

Country: Global

Reporting To: Senior Manager, Data Solutions

Job Summary: The Global Data Operations Specialist is responsible for overseeing the Havas data management platforms. S/He ensures the data operations delivery and excellent customer service. S/He works on the global integration of the team acting as a bridge between different areas located globally, ensuring the knowledge flow accordingly across all areas.

Main Responsibilities:

  1. Data Operations Management:
  • Ensure the data platforms and processes are running well, both in data collection, integration, and processing.
  • Monitor and manage data quality processes and data integrations.
  • Perform corrective and evolutive maintenance of all the data exchange and data solution processes.
  • Responsible for the quality and security of data.
  • Ensure the quality of service; responsible for user support and help with technical issues and/or improvements, cascading to development teams.
  • Document data operations and monitoring solutions in clear, concise guides.
Team Management:
  • Coach, guide, and support the team of data operations specialists and developers.
  • Motivate and create a great place for people to work.
  • Ensure knowledge transfer flows in both directions, establishing protocols to guarantee this.
  • Develop team effectiveness.

Education & Languages:

  1. Education: Computer science, engineering, or related technical field.
  2. Previous Experience: 3+ years professional experience in the field of data management.
  3. Language Skills:
  • English: Excellent
  • Spanish: Excellent

Key Competencies:

  1. Broad knowledge of Data Platforms in Media space, both at infrastructure (basic) and operational level (expert).
  2. Strong command of ad-serving systems, DSPs, and data management solutions.
  3. Minimum of 3 years of experience in data technology/management on a big data platform.
  4. Strong working knowledge of SQL, PL/SQL.
  5. Skills in one or more languages will be necessary: Java, Perl, Python, Shell script Unix.
  6. Knowledge of new generation data platforms such as MPP databases, Hadoop, or Spark is a plus.
  7. Experience working within IT procedures, data quality requirements, and agile/SCRUM environments.
  8. Experience and robust knowledge in cloud computing (Google Cloud, AWS).
  9. Strong interpersonal and written/oral communication skills.
  10. Proactive self-starter.
  11. Strong analytical problem-solving skills.
  12. Experience using IT project management software.
  13. Experience writing technical documentation and how-tos for operational tasks.

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