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Experience working with cloud technologies like Snowflake on Microsoft Azure, Amazon AWS or Google GCP. Be sure to highlight your experience with cloud, ETL, SQL, and Python.
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Microsoft Azure and M365 Cloud. - Own onboarding and lifecycle of multiple clients (Ex: Understanding contract language, cloud environments, Network Infrastructure, product lifecycles, technical documentation, workstation clean up, etc.
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Modeling warehousing and ETL methodology making use of cloud-based technologies in the Microsoft Stack (Microsoft SQL Server along with complementary technologies such as Azure Data Studio, Azure Data Factory, Blob Storage.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.) Cloud infrastructure (Virtual Machines, Cloud Storage, IAM, etc.) Responsibilities: As a Machine Learning Engineer , your primary focus will be building and maintaining ML algorithm training pipelines and production services for a new personalization system.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQLAmazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL. Amazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) 2+ years of experience with Presto or Snowflake.
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Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer. Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
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Experience working on both on-prem and major cloud providers, Microsoft Azure, AWS and GCP for application and framework hosting. Strong technical knowledge and experience managing solutions with testing tools like Tosca, Selenium, Perfecto and performance testing using JMeter and LoadRunner.
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You will have the opportunity to solve some of the toughest problems in hyperscale cloud platforms, identify and recommend business investments in a broad range of technical areas, and integrate with multiple partner teams inside Microsoft Azure as well as across the company.
$94,300 - $198,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (GCP) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience with Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (Google Cloud Platform) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Canonical partners with the leading companies in technology across public cloud (Amazon Web Services, Google Cloud, Microsoft Azure, Oracle. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis.
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Cloud Certification (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator Associate) Strong technical knowledge of network and server infrastructure, cloud computing, and cybersecurity principles.
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