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NetCore, C#, SQL, AWS (including but not limited to Elastic Container Service, Lambdas, SQS, Terraform, and RDS), MongoDB, Typescript, Snowflake, NewRelic, Splunk, K6, GitHub, Octopus. , TypeScript, Node.js, AWS (S3, Lambda, API Gateway, SQS, Terraform, CloudFront, CloudWatch, RDS.
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Practical cloud native experience (e.g. public cloud technologies - AWS, Azure, or GCP) Experience with cloud technologies, specifically with AWS EMR, AWS Glue, AWS Lambda, and AWS ECS.
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Familiarity with Cloud Analytics/ML services like SageMaker, Databricks, Snowflake, MLFlow or clickhouse. Lead Machine Learning Engineer, Ads (Remote) Familiarity with Cloud Analytics/ML services like SageMaker, Databricks, Snowflake, MLFlow or clickhouse.
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Experience with cloud, container and micro service infrastructures (e.g., Kubernetes, Docker, Helm, AWS, GCP) Our client is a Global Hedge Fund who are looking for a Software Engineer to assist a Portfolio Manager in their New York Office.
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As Founding Data Science Engineer, you will own the next iterations of our underwriting model, from statistical concept to code implementation to continuous monitoring of the outcomes. 35 min Interview with Karthik (CTO/ COO & Co-Founder.
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We are seeking an experienced Data Engineer to build high quality and scalable Data Analytics and Reporting solutions. The Infrastructure Services Software Development team is looking for a passionate, self-motivated and hard-working engineer to be part of a diverse, fast paced and high-energy team.
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AWS Services (S3, RDS, Glue, CloudWatch) AWS Services (S3, RDS, Glue, CloudWatch) Interface with Business, IT management, project managers, technical leads, developers, and customers as needed.
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Comprehensive knowledge of cloud data platforms like Google BigQuery, Snowflake, or AWS. Proficient in ETL processes, knowledge of dbt, kimble modelling, SQL-mech. Familiarity with marketing automation and CRM tools such as Marketo, Pardot, Salesforce, or HubSpot.
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4+ years of hands on experience with DevOps: automation, Infrastructure as Code (IaC), CI/CD, and observability in an AWS cloud environment. 8+ years of work experience in a relevant field (Data Engineering, DevOps, Backend Engineering, or similar.
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Whether you’re an aspiring software engineer, want to sharpen your copywriting skills, or are interested in product design, Klaviyo’s Early Careers programs are a great place for you to start your career.
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Experience providing a breadth of architecture leadership around Modern Data Platforms, Cloud Analytics, Visualization, Data Integration, Data Science, Machine Learning, and Data Governance, to include experience working with vendors such as AWS, Microsoft, IBM, Google, Snowflake, Denodo, Talend, Informatica, Collibra, Alation, Tableau.
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These include Alteryx, Tableau, Python, Drupal, Salesforce, Salesforce Marketing Cloud, Oracle Eloqua, Snowflake, AWS. These include Alteryx, Tableau, Python, Drupal, Salesforce, Salesforce Marketing Cloud, Oracle Eloqua, Snowflake, AWS.
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2+ years of experience working in a microservices environment developing a SAAS application in a public cloud provider (AWS/Azure/GCP) Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users.
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Proficiency with Excel, Powerpoint, scripting (e.g., Python, R), the ability to analyze and combine large data sets in cloud data warehouse services such as Amazon Redshift, Snowflake (or other Postgres DB) and analytics platforms such as Databricks.
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Expertise in AWS Sagemaker, Snowflake, dbt, and related modern data stack technologies, with proven experience optimizing production ML pipelines that use these tools. This transformative eCommerce effort involves migrating our ML pipelines from an AWS-based architecture to a Snowflake-centric stack, enabling closer integration with our broader Data Platform.
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aws cloud jobs Title: devops engineer Company: Experis in Snowflake, AZ
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