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Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Dog-friendly office (CAM office) Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes and Docker. Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes and Docker.
$180,000 - $180,001 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/DynamoExperience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
$180,000 - $247,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bonus experience with modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes, and Docker. Bonus experience with modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes, and Docker.
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Experience with ML operation frameworks like Kubeflow, MLflow, and Airflow. Hands-on experience with common container and container orchestration solutions, e.g., Docker and Kubernetes. Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
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Workflow systems (Argo, Airflow) - Containerization and orchestration (Docker, Kubernetes) Full-stack development tools (JavaScript, Angular, React, TypeScript, HTML, CSS) Web application development frameworks (Django, Flask, FastAPI.
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Experience with tools and platforms like GCP, dbt, Docker, Poetry, Terraform, and Airflow. Experience with tools and platforms like GCP, dbt, Docker, Poetry, Terraform, and Airflow. Fully Remote Working Policy for US Based Employees.
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You might have worked with Docker as well as Luigi, Airflow, or similar tools. You have Data Engineering experience and you know how to work with high- volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS or Azure.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with end-to-end ML lifecycle and MLOps frameworks such as Docker, CI/CD, Airflow. Credit Risk, Originations, Underwriting, Loss Forecasting, Python, Data Science, Machine Learning, Statistical Learning, Applied Artificial Intelligence.
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Our microservices are built using AWS, Docker, Django, REST, GraphQL, React, MySQL, Postgres, Elastic Search, Airflow, Ruby and other modern tools and frameworks. Our microservices are built using AWS, Docker, Django, REST, GraphQL, React, MySQL, Postgres, Elastic Search, Airflow, Ruby and other modern tools and frameworks.
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Experience and understanding of modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes and Docker is a bonus. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate.
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Overjet is backed by an amazing consortium of Venture Capital including General Catalyst, Insight Partners, Crosslink Capital and the E14 Fund. The company has raised nearly $80 million in capital to accelerate talent acquisition and product development driven by strong demand for Overjet’s dental AI.
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