Associate Director, Data Engineering
New York City, NY - USA
Job Summary
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain from consulting to execution combining marketing transformation and digital business transformation. Through a unified and fluid organization Publicis Groupe partners with its clients across communication media data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries Publicis Groupe employs around 103000 professionals.
As a Data Engineer you will develop and deliver solutions that enable our agency teams to win in a very competitive marketplace. The right candidate will be somebody who is motivated to get it done loves to continually learn and builds software applying modern technologies and strong engineering practices.
Our team is looking for a high-performing Associate Director Data Engineering who will be responsible for the development implementation and ongoing support of a data driven software platform. The candidate must be a self-starter with a sense of urgency and a commitment to quality and addition a strong background in the following areas will significantly improve the candidates ability to get going quickly:
- Strong understanding of media measurement and currency datasets
- Cloud infrastructure and data processing technologies
- Analyze business requirements and partner with product owners to build a scalable solution.
- Integrate with 3rd party APIs for data consumption.
- Work independently on data analysis and ETL design & development.
- Collaborate across product teams to build solutions that achieve business objectives.
- Use standard methodologies for data architecture and data processing.
- Optimize and scale backend systems for performance reliability and scalability.
- Draft user-friendly documentation for each solution.
- Work on projects in an agile environment.
Minimum Bachelors Degree in Computer Sciences Information Technology or its equivalent.
10 years experience with SQL databases and creating scalable ETL pipelines.
Experience and thorough understanding of RESTful APIs is required (AdTech APIs preferred).
Knowledge and experience in Python specifically extensive experience working with any data manipulation/analysis library is required.
Understanding of Spark required.
Experience Dagster and or Airflow is required.
AWS and Databricks Certifications a bonus
Comfortable with data warehousing concepts preparing data and configuring automated workflows.
Excellent communication and presentation skills as well as an analytical approach.
Strong data analysis skills are required.
Experience connecting and merging disparate datasets.
Strong organizational skills & attention to detail.
Possess a desire to work for a fast-paced results-based company.
Our Publicis Groupe motto Viva La Différence means were better together and we believe that our differences make us stronger. It means we honor and celebrate all identities across all facets of intersectionality and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage dental vision disability 401K as well as parental and family care leave family forming assistance tuition reimbursement and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically please contact
All your information will be kept confidential according to EEO guidelines.
Required Experience:
Director
About Company
Publicis Media is one of the four solutions hubs of Publicis Groupe ([Euronext Paris FR0000130577, CAC 40], alongside Publicis Communications, Publicis.Sapient and Publicis Healthcare. Led by Steve King, CEO, Publicis Media is powered by its five global brands, Starcom, Zenith, Spark ... View more