Senior Data Engineer
New York City, United States
Applications have closed
Publicis Groupe
Company Description
Publicis Media is one of Publicis Groupe’s four solution hubs, aligning all of Publicis Groupe’s media agencies and operations. Publicis Groupe (Euronext Paris Exchange: FR0000130577; CAC 40 index), is the world’s third largest communications group. The Data, Technology and Innovation Global Practice was created to deliver best-in-class programmatic solutions as well as to consolidate Publicis Media’s data and technology to transform our business from a service business to a platform business.
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. The candidate should be able to 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.
Responsibilities:
- Analyze business requirements and partner with stakeholders to provide a strategic solution
- Work independently on end to end solutions, from data analysis to ETL design and development through to the final visual dashboard
- Collaborate across the organization to build solutions that achieve business objectives, including with frontend engineers to design or modify schema for optimal software performance
- Guide stakeholders with operational decisions that impact data structures and connectivity
- Bring best practices in data architecture and data visualization to the table
- Build tools in a generic fashion for reuse across other solutions
- Develop technical documentation for each solution
Qualifications
- Minimum Bachelor’s Degree in Computer Sciences, Information Technology, or its equivalent
- 3+ years’ experience with building ETL pipelines using Python
- Experience and thorough understanding of RESTful APIs is required
- Knowledge of a variety of digital marketing platform APIs is preferred
- 3+ years’ experience with SQL and databases
- Comfortable with data warehousing concepts, preparing data, and configuring automated workflows
- Excellent communication and presentation skills as well as an analytical mindset
- Experience with complex logic
- Strong data analysis skills
- Experience connecting and merging disparate datasets
- Strong organizational skills & attention to detail
- Possess a desire to work for a fast-paced, results-based company
- Experience managing multiple projects simultaneously
Desired Skills/Experience:
- Experience with the entire AWS product range specifically:
- Redshift
- AWS Glue and Lambda functions
- Python / Spark
- Familiarity with CI/CD concepts
Additional Information
Publicis Media provides benefits and resources designed to support all of our employees. With comprehensive health and dental benefits, 401K match program, generous time off, and flexibility to work remotely we strive to support work life balance. We encourage participation in the over 13 Business Resource Groups, including groups for Women, People of Color, Veterans, LGTBQ community and allies, Parents, and more.
Please let your Publicis Recruiter know if there are any particular adjustments we can consider to make the interview more accessible and comfortable.
Compensation Range: $81,500 - $128,000 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.
All your information will be kept confidential according to EEO guidelines.
Tags: APIs Architecture AWS AWS Glue CI/CD Data analysis Data visualization Data Warehousing ETL Lambda Pipelines Python Redshift Spark SQL
Perks/benefits: 401(k) matching Health care
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