Publicis Media harnesses the power of modern media through global agency brands CJ, Performics, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith. A key business solution of Publicis Groupe ((Euronext Paris FR0000130577, CAC 40), Publicis Media's digital-first, data-driven global practices deliver client value and increase growth in a platform-powered world. It is present in more than sixty countries with over 23,000 employees worldwide.
Job Description
As a Data Engineer, the right candidate will be somebody who is motivated, loves to continually learn and builds software utilizing modern technologies and strong engineering practices.
Our team is looking for a Data Engineer who will be responsible for the development, implementation and on-going support of a data driven software platform. In addition, background in the following areas will significantly elevate the candidate's ability to hit the ground running:
- Strong understanding of media measurement and currency datasets
- Cloud infrastructure and data processing technologies
You will report to Senior Vice President, Data Engineering.
This is a hybrid role, requiring three days in-office each week. If you are contacted for an interview, your recruiter will discuss specifics with you, inclusive of any necessary reasonable accommodations.
Core Responsibilities:
- Analyze business requirements and partner with product owners to build a scalable solution.
- Integrate with 3rd party APIs for data consumption.
- Collaborate across product teams to build solutions that achieve business objectives.
- Follow best practices in data architecture and data processing.
- Optimize and scale backend systems for performance, reliability, and scalability.
- Develop technical documentation for each solution.
- Work on projects in an agile environment.
Qualifications
- Minimum Bachelor's Degree in Computer Sciences, Information Technology, or its equivalent.
- 3+ years' experience 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 (PySpark preferred).
- Experience with Databricks and Airflow would be preferred.
- 3+ years' experience with SQL and databases.
- Comfortable with data warehousing concepts, preparing data, and configuring automated workflows.
- Experience connecting and merging disparate datasets.