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Collaborate with the Finance or MP&L Application owners and the Ingestion team to “Land” and “Transform” the data in the Data warehouse on GCP BigQuery. Create data warehouse objects of raw data, and Analytical Model objects which are data products of customized data environments in GCP BigQuery (Data Warehouse), crafted to facilitate access of the information, with the goal of supporting scalable growth, sustainability, reusability, faster analytical solutioning and to accelerate delivery of business value.
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Experience with Google Cloud Platform (GCP). The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. Experience with Airflow (Astronomer.
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Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure.
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Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
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Experience and good understanding of GCP processing /DevOPs/ Machine Learning. Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies. Cloud Software Engineer Position Overview At Ford Motor Company, we believe freedom of movement drives human progress.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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GCP Cloud data implementation projects experience (Dataflow, AirFlow, BigQuery, Cloud Storage, Cloud Build, Cloud Run, etc. Understanding of the GCP ecosystem with a focus on Big Query, and DataFlow.
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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense. Our preferred requirements: Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense.
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Looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. Stefanini is looking for Machine Learning Engineer, Location: Dearborn, MI (Hybrid.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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Master focused in Computer Science / Machine Learning or related fieldExperience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructureExperience in delivering cloud engineering productExperience in programming concepts such as Paired Programming, Test Driven Development, etc.
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Proficiency in CI/CD practices and Git toolsExperience Required:knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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Professional-tier certification in AWS (Solutions Architect or DevOps Engineer), GCP (Cloud Architect or Cloud DevOps Engineer) or Microsoft Azure (DevOps Engineer Expert or Azure Solutions Architect Expert.
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5+ years of data Engineering experience developing applications in Python 2+ years of experience in building AI/Client models using Vertex AI GCP experience in building data warehouse systems with ability to understand ETL principles and write complex sql queries.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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In-depth knowledge and hands-on experience in GCP cloud-native services such as BigQuery, Dataflow, Pub/Sub, Cloud Data Fusion, Cloud Composer and Google Data Studio etc. We are currently seeking a seasoned GCP Cloud Data Engineer with at least 4 years of experience in designing data models and leading/implementing GCP data projects., You will design data warehouse/data marts, build ETL pipelines to ingest and land data from heterogeneous sources into our system.
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Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to drive more informed business decisions through data. 1+ years of experience in GCP and either Big Query or Vertex AI.
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