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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 11 West 19th Street (22008), United States of America, New York, New YorkLead Back End Engineer (Java, Spring Boot, AWS, Kafka.
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) 5+ years of experience working on cloud platforms - Pivotal Cloud Foundry and Public Cloud AWS/Azure/Google Cloud.
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Create information solutions covering data security, data privacy, metadata management, multi-tenancy and mixed workload management across Hadoop and NoSQL platforms, spanning on-premise and Cloud based deployments.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Access to Cutting-Edge Practices: Stay at the forefront of the industry with forward-thinking practices across major technology platforms like Google AI search, Meta, TikTok, and Amazon. Best-in-Class Tech Stack: Work with top-tier tools like Segment, mPartical, PowerBI, Tableau, Microsoft Azure, Google Big Query, Python, Google Workspace, Slack, ClickUp, Zoom and more ensuring you have the resources you need to excel in your role.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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Daily Tasks: Skills in nutshellDrupal, PHP, Angular, Express with Angular Universal, NodeJS Monitoring (PM2), SOLR, Java, AWS Cloud Engineering, AWS Cloud Services, Route 53, Load Balancers, EC2, Acquia CloudAutoscaling groups, Mem Cache, Secrets Manager, CloudFront, Code Deploy, Code Pipeline, VPC, CloudFormation, IAM,Secuirty Groups, S3, CloudWatch, EFS, WebSphere Portal,Ansible, Apache, Ngnix, NodeJS, Varnish, Jenkins, Terraform, LSyncD, Bash Scripting, Splunk.
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Hands on experience with microservices architecture, and cloud-native application development, hands-on experience developing in AWS Cloud Platform (ECS, EKS, MSK, Lambda, S3, RDS Aurora.
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Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Alibaba Cloud, Oracle Cloud. Technical knowledge in some of the following domains in a cloud or on-premise context: routing/switching, stateful or next gen firewalls (NGFW), distributed denial of service (DDoS) mitigation, web application firewalls, intrusion detection / prevention systems (IDS/IPS), network segregation, security information and event management (SIEM), Container and Orchestration technologies, Infrastructure as Code, and other threat and vulnerability management capabilities.
$263,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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With a focus on cloud security and security architecture, you will serve in a key role of leading technical discussions, guiding the development of strategic and tactical security architecture efforts, designing and driving remediation and implementations to completion, and function overall as a technical security leader for traditional (i.e. on-premises) and cloud-based security architectures.
$263,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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