Associate Director, Data Engineering

Company Description

At Publicis Santé, it is both our model and culture to establish fully integrated cross-discipline teams that put our clients wholly at the center and enable us to provide best-in-class services in a fluid and modular way. We are seamlessly connected both organizationally and culturally around our clients and are uniquely positioned to do so through our Power of One model.

Part of Publicis Media, our leadership is defined by experience, commitment, and continuity across our vast network. Helming our agencies are some of the most seasoned experts in the industry, committed to doing the best for our people and our clients every day, and bound together by our inclusive and humane culture. No matter whether we’re recruiting new talent or devising new media campaigns for our clients, we put the humanity and identity of real people at the forefront of everything we do. And our peerless history of continuous learning and innovation means we never stand pat.

Rather than offering standard services, we create bespoke solutions that are engineered to meet client objectives, and to enable not simply media planning and buying, but business transformation. Since all content competes with all content today, we’ve embraced the notion that meaningful connections between brands and human beings requires a combination of permission, relevance, and intimacy. And to ensure our clients’ dollars are always working as hard as they can, our approach to investment and data exist in lockstep, in service of real-time optimization and efficient ROI.

Publicis Media is the #1 media network in North America, made of a family of world-class media agencies, solutions, and talent. Together, we comprise more than 23,000 people in more than 60 countries, united to serve the world’s best-known and most successful brands.

Job Description

Our team is looking for a high-performing Data Engineer who will be responsible for the design, development, implementation and on-going support of a data driven software platform. You enjoy and thrive in a fast-paced environment on multiple projects simultaneously, including both enhancements as well as new project development. The candidate must be a self-starter with a sense of urgency and a commitment to quality and professionalism.

Role Objectives:

• Analyze ambiguous business requirements and partner with product team to provide a strategic solution
• Collaborate with frontend engineers to design or modify schema for optimal software performance
• Advanced database administration and development including stored procedures, user defined functions, triggers and ETL packages as well as security and roles
• Uphold quality standards and create monitoring tools to ensure high fidelity data
• Optimization and tuning of existing stored procedures to improve performance
• Troubleshoot database issues, identify root causes, and implement optimal solutions
• Extract, transform, and load data from multiple data sources using languages and tools such as Python and AWS Glue
• Design, Build, Test, Debug, Monitor, and Troubleshoot ETL and software processes in Python
• Recommend solutions to existing or anticipated issues
• Serve as an escalation point for any issues that may arise
• Design testing requirements and prepare test plans and test modules
• Ability to follow implementation standards, develop documentation and transfer of knowledge

The following experience is a plus:

• Experience with Business Intelligence software (Tableau, PowerBI)
• Experience and thorough understanding of a variety of APIs
• Experience supporting analytics and data science teams/tools (Pandas, R, Alteryx)
• Experience with front-end development

Qualifications

• 4 years’ experience with ETL and databases, (Redshift preferred)
• 4 years’ experience with Python
• Familiarity with cloud technologies such as Amazon Web Services (Redshift, S3, Glue, Lambda)
• Advanced PostgreSQL programming skills (stored procedures, functions, etc.)
• Experience with marketing data and digital media
• Experience with complex processing logic against large data sets
• Excellent data modelling skills and experience working with multiple datasets
• Possession of strong communication and presentation skills as well as an analytical mindset
• Good problem solving and testing skills
• Familiarity with code versioning tools such as Git
• Strong organizational skills & attention to detail
• Possess a desire to work for a fast-paced, results-based company
• Experience managing multiple projects simultaneously
• Self-driven/entrepreneurial spirit with the ability to think outside of the box
• Bachelor’s Degree in Computer Sciences, Information Technology, or equivalent

Additional Information

All your information will be kept confidential according to EEO guidelines.