Company

Publicis CollectiveSee more

addressAddressPhiladelphia, PA
type Form of workFull-Time
CategoryEducation/Training

Job description

Job Description

Company Description

About The Publicis Data Engine:   

Publicis CoLab is a fully integrated, cross-discipline, “power of one” solution that provides best-in-class media and marketing services to our client, Pfizer.  Through the Data Engine, we create brand movements at the speed of people’s lives by connecting real-time data with world-class creative, content, and media in service of growth and ROI. We pride ourselves on combining the energetic atmosphere of a startup company with the stability and experience of a global leader. 

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 

    • Integrate new publishers and vendors

  • Maintain best practices for handling, storing and using data 

  • Tools:   

    • Snowflake

    • 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

  • Snowflake practitioner

    • experience with Snowflake clean rooms

  • Experience with the entire AWS product range specifically:  

    • Redshift  

    • AWS Glue and Lambda functions  

    • Python / Spark  

  • Familiarity with CI/CD concepts  

  • 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: 

  • Snowflake practitioner

  • 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 


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. 

Refer code: 8732337. Publicis Collective - The previous day - 2024-03-25 20:31

Publicis Collective

Philadelphia, PA
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