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Skilljar is seeking a Senior Full Stack Python (Django) Developer to join our fast-growing Engineering team. Senior Full Stack Python (Django) Developer. At least 5 years of experience building web applications at scale using Rails, Django, or some equivalent MVC framework.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Google Cloud accelerates every organization’s ability to digitally transform its business and industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
$139,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plusHands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plusFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience developing APIs using Python, Django, Django-REST, Celery, Redis, PostgreSQL, and/or GraphQL. Requirements and General Skills: Flexible to work across different time zones.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Proficient in one or more programming languages (Java, Scala, Python.
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Proficient in programming languages such as Python, R, SQL, and SAS. Experience with data visualization tools such as Tableau, MixPanel, Google Looker. Proficient in programming languages such as Python, R, SQL, and SAS.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Our tech stack : We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google tools (email, calendar, docs, sheets, slides, etc.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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We’re backed by the world’s most prestigious investors as well as AI and robotics legends like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficiency in modern web frameworks like React, Next.js/Vercel, cloud providers like Amazon AWS, Google Cloud, or Microsoft Azure, and relational database design. Build and maintain our core product e2e using React (TypeScript), ORM (Prisma), and database operations (PostgreSQL and Python.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in utilizing cloud-based data governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
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Experience building web apps in Python with Flask, Django, or FastAPI. Experience provisioning cloud resources (GCP) Appreciates and clearly communicates to stakeholders the tradeoffs between using out-of-the-box cloud tools or the basic tools under those “skins.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift.
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Technologies we use: Python, SageMaker, AWS cloud stack (e.g. RDS, S3, DynamoDB, lambdas, Kinesis, ECR), Datadog, Terraform, Snowflake, MySQL, and Postgres, among many others. 4+ years of experience working with Cloud (AWS, Azure or GCP), Docker, CI/CD, and orchestration technologies (Kubernetes.
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google cloud python django jobs in San Francisco, CA
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