The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals.
The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.
As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team?
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What You'll Will Do
- Collaborate with the MAS team functions to develop data products for analytics solutions.
- Design and develop data products that are compliant with data privacy and security policy to protect and manage sensitive data including customer data.
- Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering capabilities. Collaborate with cross-functional teams including data governance, data architecture, release management, Data Ops & ML Ops, and infrastructure as required.
- Automate new and existing data processes including non-structured sources, eliminating all manual effort to gather and ingest data.
- Stay up to date with emerging trends and technologies in the field of Data Engineering and proactively find opportunities for improvement and innovation within our organization.
- Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.
Additional Job Description
Your Skills & Abilities (Required Qualifications)
- 5+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data curation for Customer Experience data science modeling and reporting.
- Strong problem-solving and analytical skills with practical experience analyzing and curating large scale customer event data products from disparate data sources including 1st party and 3rd party data and map type data with variable structure.
- In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, data architecture, data quality assurance, performance optimization, source code management, release management, and operations.
- Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub.
- Effective communication and people skills, with the ability to collaborate effectively with cross-functional technical teams and non-technical stakeholders.
- Naturally curious with the ability to work independently and proactively.
- Experience working in an Agile development environment.
Education
- Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field. Master's degree is a plus.
