Senior Data Enablement Engineer

Publicis Groupe

Chicago (IL)

In loco

USD 73.000 - 101.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Publicis Groupe in Chicago is seeking a Data Engineer to design, build, and evolve core data products, including a classification engine and data pipelines. You will work hands-on with large datasets, implementing transformation logic in SQL and Python and ensuring data quality across systems.

You will collaborate with Engineering, BI, and Media teams in an Agile environment (Jira) to deliver scalable, reliable data solutions that power downstream analytics and reporting for health media.

Competenze

  • Hands-on experience with Databricks and/or Snowflake.
  • Proficiency in SQL and/or Python for data transformation.
  • Experience with large, complex datasets and scalable data solutions.
  • Strong attention to data accuracy and quality.
  • Excellent problem-solving and debugging skills.
  • Clear communication to both technical and non-technical stakeholders.
  • Ability to think critically about data structures and system design.

Mansioni

  • Design, build, and maintain data pipelines for the classification engine and data products.
  • Develop scalable classification logic and data transformation rules in SQL/Python.
  • Ensure data quality and integrity across datasets with QA and monitoring.
  • Collaborate with Engineering, BI, and Media teams to evolve data models.
  • Troubleshoot complex data issues and identify long-term solutions.
  • Work in Agile environments (Jira) to manage priorities and deliverables.

Conoscenze

Databricks
Snowflake
SQL
Python
Data quality
Data transformation
QA processes
Agile (Jira)
Communication

Strumenti

Datorama/MCI
Tableau
Power BI
Alteryx

Descrizione del lavoro

Publicis Groupe in Chicago is seeking a Data Engineer to design, build, and evolve core data products, including a classification engine and data pipelines. You will work hands-on with large datasets, implementing transformation logic in SQL and Python and ensuring data quality across systems.

You will collaborate with Engineering, BI, and Media teams in an Agile environment (Jira) to deliver scalable, reliable data solutions that power downstream analytics and reporting for health media.

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