Data Engineer

Responsibilities

• Design, build, and maintain scalable ETL and ELT pipelines based on business requirements, user stories, and architectural standards.
• Assemble, transform, and manage large, complex datasets using cloud-native technologies (AWS, Databricks) and SQL-based processing.
• Design and work extensively with relational data models to support reporting, analytics, and downstream consumption.
• Ensure performance, reliability, and scalability of the data platform, including monitoring and optimizing data pipelines and feeds.
• Collaborate with the data engineering team on performance tuning, query optimization, and code quality standards.
• Develop and maintain data workflows in Databricks, including notebooks, jobs, and orchestration.
• Use Git-based version control to manage code, collaborate with peers, and support CI/CD workflows.
• Estimate and plan development work, track progress, and deliver high-quality solutions on schedule.
• Create clear, accurate, and maintainable technical documentation.
• Participate in on-call rotation and support production incidents as needed.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
• Strong hands-on experience with ETL/ELT tools and frameworks with databricks.
• Strong experience working with relational databases and advanced SQL, including schema design, joins, window functions, performance tuning, and query optimization (2+ years).
• Experience with Python for data processing, automation, or pipeline development.
• Working knowledge of Databricks (Spark, notebooks, jobs, Delta tables preferred).
• Proficiency with Git and version control best practices in a collaborative development environment.
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.
• Strong customer service mindset, with experience translating business needs into effective data solutions and delivering with urgency and accountability.
• Highly organized, self-motivated, and able to manage multiple priorities in a fast-paced environment.
• Digital media or ad tech experience, especially in data-centric roles, is a plus.

Additional Information

Our Publicis Groupe motto “Viva La Différence” means we’re 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.