Senior Data Engineer

Company Description

At Publicis Groupe, we are looking for a** Senior Data Engineer **Fluent in English to join our Data Science Hub at Publicis Global Delivery, our talent powerhouse, the global interconnected network that provide offshore & nearshore solutions for our partners - sister companies´ business worldwide.

We currently have Hubs in Argentina, Colombia and Costa Rica and we are offering the amazing opportunity to take part of a globally distributed team that has a knack for understanding data and telling the story of why it matters. By joining our team, you´ll be working to uncover deep analytical insights to drive high-impact results to our international clients, having the unique opportunity to be part of a great variety of projects in a flexible, fast-paced and multicultural environment that is always growing and mutating.

**Job Description**:
The Data Operations team's mission is to define, modernize, centralize, and steward all foundational elements of data management and enable delivery of value-driven analytics-ready data at scale across all lines of business and ensure that our operations are efficient and effective.

As a Senior Data Engineer on the Data Operations team, you are responsible for managing data governance and workflow automation processes. You will be part of a team responsible for developing and delivering our GCP platform. You will support end-to-end workflows while actively collaborating with different internal stakeholders to assess data needs.

The role offers an excellent opportunity for growth and to work on a wide variety of technologies, including programming, databases, cloud infrastructures, and visualization tools. You will develop deep domain expertise and generate key insights that influence business decisions and technological solutions.

**Qualifications**:
**Responsibilities**
- Drive and advance existing end-to-end workflow processes
- Take ownership of proper data governance and conduct data quality checks in collaboration with teams
- Prepare documentation for workflow automation and new pipeline development
- Drive the audit process automation to ensure accuracy and efficiency
- Utilize ETL tools to extract data from data sources, filter, and transform the data for use in reporting and analysis
- Develop, deliver and maintain the BigQuery data lake
- On-board new data sources to the data lake
- Collaborate with the project management team for key data operation projects

**Qualifications**
- Bachelor's Degree in Computer Science/Engineering, Mathematics or Engineering field
- 4+ years of data engineering experience
- Proficient in Python
- Experience with relational SQL databases
- Experience with integration of data from multiple data sources
- Experience working with Google Cloud Platform tools and ETL tools (Alteryx)
- Ability to work in teams and collaborate with others to clarify requirements
- Knowledge of marketing and advertisement is not required, but you are expected to learn and understand the business logic behind the numbers, aiding media teams and analysts in producing insights for clients

Additional Information

**Benefits**:

- Access to Prepaid Medical Plan
- Flexible schedule
- 100% Remote work
- 14 business days of vacation
- English lessons
- Discounts on courses, trainings and universities
- Access to E-Learning platforms
- Technical trainings & soft skills development
- Certification programs
- Level up program
- Engagement activities and events
- A mentor who´ll do a coaching process with you to develop your professional career