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Snowflake or Databricks certifications and/or hands-on-keyboard experience. Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on experience with DataBricks for building and optimizing data pipelines." Proficiency in managing and administering cloud-based data platforms such as Snowflake and/or Redshift.
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The successful candidate must have hands-on experience in information security technology, cloud and on-premises environments, digital marketing and CRM platforms, application security and code review, vulnerability testing, and leading enterprise level risk management programs.
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We are seeking a hands-on Engineering Manager in the Hosting Delivery Line of Products with strong experience in Infrastructure as Code (IaC), DevOps practices, and cloud application development across multiple cloud providers (AWS, Azure, GCP.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Provide direction on adoption of Cloud technologies (Redshift, Postgres, Snowflake,) and industry best practices in the field of data lakes and data warehouse architecture and modelling.
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Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks. Ways to stand out from the crowd:Demonstrated expertise and hands-on experience with NVIDIA AI products for Machine Learning and Data Processing (RAPIDS and sparks-rapids.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience in a wide variety of modern back-end & general programming languages, frameworks, protocols, & technologies such as Elixir, Python, SQL, NoSQL, Phoenix, LiveView, WebSockets, ASP.NET, etc.
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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Hands on AWS experience in EKS, ECS, AWS Lambda, Terraform, AWS Aurora Postgres, AWS logging and monitoring using Datadog, AWS Security groups, AWS MSK(Kafka) · Experienced with AWS cloud technologies (EKS, Fargate, Lambda, S3,RDS, terraform.
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Having hands-on experience on UI technologies like Angular, JavaScript, React JS would be an added advantage. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions.
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Hands-on experience working on core Cloud services – compute, storage, network, virtualization, Identity and Access Management (IAM). Strong Hands-on experience with Kubernetes, CI/CD tools like GitLab.
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Experience with Azure resources such as: Resource Groups, VMs, Storage Accounts, Service Buses, Expose API in AAD) Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s): Python and.
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Everest is seeking an experienced Business Analytics Manager with 4+ years of relevant P&C industry knowledge, and hands-on Data Visualization skills preferably with Microsoft Power BI. This position is hybrid which requires 3 days in the office within NYC or Warren, New Jersey.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with IaC tools such as Terraform, and DevOps tools such as Jenkins, Harness, Artifactory. · Hands on experience on design solutions using open-source technologies for containers, such as Docker, Kubernetes, Grafana, Open Telemetry, Prometheus, Helm, and Kafka.
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High level requirements for the role:-Data ingestion from various on-prem and cloud sources-Ability to build ETL pipelines to transform raw data into format suitable for analysis (hands on experience working with ETL tools like AWS Glue, Informatica etc.
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