Senior Data Engineer

Company Description

PHM is the leading health media agency in the US. We are designed for—and dedicated to—delivering solutions that connect people with meaningful health and wellness solutions every day. Guided by our genuine passion for health and wellness, our work across the entire media ecosystem helps patients navigate the most important moments of their healthcare journeys.

While we have grown to be the No. 1 agency in our industry, at heart we’re still a startup. It’s that energy and spirit of innovation that allows us to create bold and meaningful “health media firsts” for our clients, and to do it all with #phmlove.

Job Description

You will support automation across BI and data initiatives and developing data products. This resource plays a critical role in the development of BI/data warehouse/data lake solutions used by internal and external partners. These solutions include data ingestion, harmonization, visualization, quality assessment and delivery.

This is a hybrid role, requiring three days in-office each week. You will report to the Manager, Data Engineering. Locations: NYC, Philadelphia or Chicago.

Responsibilities:

• Support portfolio of data projects across different clients in the agency
• Work with different teams such as client, sales, IT, media planning and buying
• Create high performance data products by monetizing warehouse and ETL solutions
• Development and optimization of BI solutions such as Tableau, Datorama, Google Data studio.
• Data management tasks including:
  • ETL/data feed management
  • Metadata management
• Maintain best practices for handling, storing and using data
• Tools:
  • SQL Server/SSIS
  • Python/Java
  • BI Platforms – Tableau, Datorama, etc
  • Cloud Technologies – AWS, Azure, Google

Qualifications

• BS Degree in one of the following subject areas; Computer Science, Information Technology or related field
• Experience tracking and resolving BI and database related incidents as well as requests
• Experience with database structures, theories, principles, and practices
• Experience with ETL and data warehouse principles
• Good interpersonal, written and oral communication skills
• Technical documentation skills
• Ability Experience communicating updates and resolutions in user-friendly language
• Able to prioritize and execute tasks in a team-oriented, fast-paced environment

Specific Skills Required:

• Minimum 3 years SQL experience, 1 year of ETL experience, 1 year analyzing data sets
• Minimum 1 year BI experience (Tableau, Datorama)
• Strong data warehouse knowledge
• Experience with large datasets
• Python, Java, C# or R experience a plus
• Experience with Web and Digital marketing data a plus

#LI-Hybrid

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.

Compensation: $64,000 – $72,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. The Company anticipates the application deadline for this job posting will be 10/25/2024

If you require accommodation or assistance with the application or onboarding process specifically, please contact [email protected].

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