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The Publicis Media Technology group is a centralized practice within Publicis Media, the media-centric solutions hub of Publicis Groupe [Euronext Paris FR0000130577, CAC 40]. PM Technology drives transformation across Publicis Media’s agency brands via the provision of a scalable and consistent approach to data and technology. PM Technology is powered by a leading, data/tech platform; best-in-class technology management and consultancy services; unified workflow solutions; differentiated products and client solution stacks; and strategic oversight of all major data and technology partnerships. Home to over 100 engineers, data architects, consultants, product managers and a robust project management operation, PM Technology helps scale innovation worldwide.
An experience software engineer responsible for the building, maintain, and troubleshooting dotnet/.NET RESTful applications and Data Engineering projects as well as optimizing the CI/Deployment process. Strong knowledge in writing C#, OOP, REST, Cloud-based development, and event-driven architectures a plus. Proficient in Data engineering responsibilities like data ingestion, modeling, transforming, processing, security, and governance. Will work with a team of engineers, help form user stories and Acceptance Criteria from business problems, write technical designs and implement solutions. Help improve DevOps and release processes. Knowledgeable in Machine Learning, AI, NLP, and data flow for model training is a plus.
Responsibilities:
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.
We know that when the whole person is cared for, they are able to do their best work. That’s why we offer benefits that go way beyond comprehensive health, dental, 401K matching, and flexible time. We also offer access to over 16 Business Resource Groups, mentorship programs and training opportunities, wellness and enrichment programming, extensive benefits for caregivers and new parents, tuition reimbursement, and so much more.
All your information will be kept confidential according to EEO guidelines.
REQ # 23-6748
Full Time
Business Services
$85k-112k (estimate)
09/17/2023
06/19/2024
publicisgroupe.com
CHICAGO, IL
15,000 - 50,000
1926
DAVID PENSKI
$50M - $200M
Business Services
The job skills required for Senior Data Engineer include Software Design, Project Management, Innovation, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
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The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
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Provides successful deployment and provisioning of data solutions to production or other required environments.
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Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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