Data Engineer: Scalable Pipelines & AI-Enabled Analytics

Fearless

United States

United States

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À propos

A digital integration consultancy is looking for a Data Engineer to design, build, and optimize data infrastructure for high-quality analytics. Responsibilities involve developing automated data pipelines, collaborating with cross-functional teams, and utilizing technologies like Python, SQL, and PySpark. The ideal candidate will have at least 4 years of experience in data engineering, experience with cloud platforms like Azure or AWS, and a Bachelors degree in a relevant field. The position offers competitive compensation and a supportive work culture. #J-18808-Ljbffr

United States

Compétences linguistiques

English

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