My IT Company
GCP Data Engineer - AIML
My IT Company, Canonsburg, Pennsylvania, United States, 15317
Responsibilities
Design, develop, and implement data pipelines on GCP using tools like Cloud Dataflow, Cloud Dataproc, and Cloud Composer.Manage data storage and transformation in BigQuery, Cloud Storage, and other GCP services.Collaborate with data scientists and Client engineers to understand their needs and translate them into effective data solutions.Develop and deploy Client models in production using Google Cloud AI Platform, including AI Platform Training and AI Platform Prediction.Monitor and maintain data pipelines and Client models, ensuring high performance and data quality.Proactively identify and implement data security best practices.Document data pipelines and Client models for future reference and maintainability.
Qualifications
2-3 years of experience as a Data Engineer or similar role.Solid understanding of GCP data services, including BigQuery, Cloud Dataflow, Dataproc, Cloud Client Engine, AI Platform, etc.Expertise in building and maintaining data pipelines, data modeling, data warehousing, and data quality management.Familiarity with Artificial Intelligence and Machine Learning concepts, including Python libraries like TensorFlow, PyTorch, scikit-learn, etc.Proficiency in Python and SQL.Excellent communication, collaboration, and problem-solving skills.Strong attention to detail and ability to work independently and as part of a team.EAD (Employment Authorization Document) is welcome.
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Design, develop, and implement data pipelines on GCP using tools like Cloud Dataflow, Cloud Dataproc, and Cloud Composer.Manage data storage and transformation in BigQuery, Cloud Storage, and other GCP services.Collaborate with data scientists and Client engineers to understand their needs and translate them into effective data solutions.Develop and deploy Client models in production using Google Cloud AI Platform, including AI Platform Training and AI Platform Prediction.Monitor and maintain data pipelines and Client models, ensuring high performance and data quality.Proactively identify and implement data security best practices.Document data pipelines and Client models for future reference and maintainability.
Qualifications
2-3 years of experience as a Data Engineer or similar role.Solid understanding of GCP data services, including BigQuery, Cloud Dataflow, Dataproc, Cloud Client Engine, AI Platform, etc.Expertise in building and maintaining data pipelines, data modeling, data warehousing, and data quality management.Familiarity with Artificial Intelligence and Machine Learning concepts, including Python libraries like TensorFlow, PyTorch, scikit-learn, etc.Proficiency in Python and SQL.Excellent communication, collaboration, and problem-solving skills.Strong attention to detail and ability to work independently and as part of a team.EAD (Employment Authorization Document) is welcome.
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