Associate Director, Data Engineering
Publicis GroupeAbout the role
Company Description
At Publicis LifeSpeed, 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. Publicis LifeSpeed uses living data to create brand movements at the speed of people’s lives. We move faster, create movements, and deploy real time data that connects world class creative to content and media in service of growth and ROI.As part of Publicis Media, our leadership is defined by experience, commitment, and continuity across our vast network. Helming our agencies and teams 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.
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
Responsible for developing and supporting data products, this resource plays a critical role in the design, development and management of modern, cloud-based data engineering and data warehouse solutions utilized by internal and external stakeholders.
Key Responsibilities:
Create high performance data products by monetizing BI solutions, warehouse and ETL technologies
Work closely with different teams such as client, sales, IT, media planning and buying
Design, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, utilizing solution aspects from hybrid-clouds (Azure, AWS), data lakes and multiple data warehouses.
Data management functions including:
ETL/data feed management
Metadata management
Create database objects as needed (e.g. Stored procedures, Stages, Indexes)
Optimization of data pipelines
Maintain best practices for handling, storing and using data
Tools:
Apache Spark (Pyspark), Pandas, Python
Any modern database (Oracle, SQL Server, Postgres)
Good to have exposure to data visualization tools such as Tableau, PowerBI
Data engineering stack on public clouds – AWS, Azure, Google
Qualifications
BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred
Minimum of 5+ years of experience designing and developing BI solutions
Strong understanding of database structures, theories, principles, and practices
Strong understanding of ETL and data warehouse principles
Good interpersonal, written and oral communication skills
Technical documentation skills
Ability to present complex ideas in user-friendly language
Self-motivated and directed, with keen attention to detail
Able to prioritize and execute tasks in a team-oriented, high-pressure environment
Specific Skills Required:
Minimum 5 years SQL experience, 3 years of ETL experience
Python based data wrangling experience highly desired.
Strong data warehouse knowledge
Experience with large data sets
Experience with Web and Digital marketing data a plus
Additional Information
All your information will be kept confidential according to EEO guidelines.
Compensation Range: $106,500 - $167,500 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.
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