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APIs, ETL, AWS, MongoDB, Postgres, Nodejs, Python, SEO, ElasticSearch, caching, Apigee. AWS Cloud Architect. AWS certification (e.g., AWS Certified Solutions Architect) is a plus.
$185,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop. Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop.
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Basic knowledge in AWS Cloud ecosystem and have idea on services like Lambda, API Gateway, CloudWatch, S3, etc. 3 years of experience working with React Native and React JS along with tools like Flux, Flow, or Redux.
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Familiarity with relevant technologies: This includes Linux, AWS, GCP, Azure, Python, Docker, and Kubernetes. Use various new tools and technologies to implement the next generation of data analytical systems at H-E-B. Work with other data engineers on retooling, new standards, and new processes around data management/pipelines in AWS.
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Strong experience with Microservices, AWS cloud services like Fargate, EC2, NLB’s, VPC, Route 53, S3, Lambda, Glue. DBA (MySQL): MySQL DBA experience for tasks such as database design, performance optimization, security, and backup/recovery.
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Demonstrated proficiency with the following technologies: Python (or similar backend OOP language), HTML, CSS, Javascript, SQL Databases, SQL language, AWS, Okta/SSO technologies. Relevant certification is preferred such as Amazon Web Services (AWS.
RemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Exposure to Cloud infrastructure both on-premise and public cloud (i.e., OpenShift, AWS, etc. Exposure to agile and iterative software delivery Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.
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Must have 12+ years of experience, Microservices, Architecture, SQL/NOSQL, Azure, AWS, Kubernetes, Docker and managing offshore teams. Must have 12+ years of experience, Microservices, Architecture, SQL/NOSQL, Azure, AWS, Kubernetes, Docker and managing offshore teams.
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Expertise on AWS Cloud, EC2, IAM Roles, KMS keys, AWS Batch, Terraform/CFT. Expertise on AWS Cloud, EC2, IAM Roles, KMS keys, AWS Batch, Terraform/CFT. We are looking for a Data Engineer (Informatica) to join our digital platform team for new initiatives.
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Collaborate on a range of backend technologies, from Microservices to Docker and APIs, with the opportunity to grow your AWS skills. Company-provided Pluralsight account for ongoing learning, PTO, paid holidays, and telecommute flexibility.
$100,000 - $125,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As part of the engineering team, you will build solutions utilizing Glue ETL, RedShift, Lambda, SageMaker and other AWS services. AWS services (Glue, Redshift, Lambda, etc.) As part of the engineering team, you will build solutions utilizing Glue ETL, RedShift, Lambda, SageMaker and other AWS services.
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Position requires 5+ years of experience in the following: Agile Software development methodologies utilizing Ab initio, Github, Jenkins, AWS, Big Data platform, Python, Oracle, Teradata, and Spark.
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AWS and Automation of infrastructure. IaC (Terraform and Cloud Formation ideally) Location: Fully remote. AAP (Ideally migration experience) and Ansible tower. AWS and Automation of infrastructure.
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Knowledge on GCP/AWS/Azure Cloud. Kafka brokers, Producer, Consumers, zookeepers, Kafka connect, schema registry, KsqlDB, Kafka streams. Knowledge on GCP/AWS/Azure Cloud. Infrastructure as Code- Terraform is a must.
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Experience in cloud based development and production environments - AWS, GCP and On-prem clusters. Job Title: Sr. Machine Learning Engineer. Experience in cloud based development and production environments - AWS, GCP and On-prem clusters.
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