DataOps Engineer

April 26, 2023

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Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science

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Description

• Design, build, and maintain data pipelines • Integrate data from different sources • Utilize data processing frameworks • Set up and manage data storage systems • Monitor data pipelines and infrastructure • Lead or support development of proofs of concept • Employ Apache Airflow or Dagster for managing data workflows • Work with SQL and NoSQL databases • Utilize Kubernetes for managing containerized data applications

Requirements

• 4+ years of DataOps or Data Infrastructure experience • 3+ years of experience in data operations projects • Experience with Python, Databricks • Experience with cloud platforms and containerization • Strong understanding of data modeling, data warehousing, and data governance • Previous involvement in project proofs of concept • Comfortable with Github for code management • Strong written and oral communication in English

Benefits

• Amazing team support • Rich culture • Shared success • Flexibility to work from home