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Databases: RDS, SQL, MySQL, Postgres, RedShift, MongoDB, DynamoDB. Master in one of the SecDevops practices IaC-Terraform, Cloud-AWS, CICD-Git/Argo, microservices architecture deployment (primarily Kubernetes) with awareness about site reliability engineering principles, coupled with a willingness to learn and expand the knowledge.
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MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.js. Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB. MERN stack: JavaScript - MongoDB - Express - ReactJS - Node.js (Preferred.
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Analyse on premises/ Azure transactional database environments such as Oracle, SQL Server, COSMOS, MySQL, PostgreSQL, MongoDB, Cassandra evaluate and plan migrations to Azure. Hands-on experience on Oracle, SQL Server, COSMOS, MySQL, PostgreSQL, MongoDB, Cassandra.
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Experience with Microsoft windows server, Microsoft IIS, SQL server, Linux/BSD, Apache/IIS MySQL/MongoDB, PHP. Proficiency in a least one modern JavaScript framework (React, Angular, Vue. Js) and server-side language (Nod.js.
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Solid understanding in NoSQL database like Elasticsearch, DynamoDB etc. Experience in AWS developer tools, SDK, CLI tools, VPC, EC2, EBS, S3, ELB, Auto scaling, Elastic Beanstalk, IAM, RDS, Route 53, Cloud Front, Cloud watch, Cloud Trail.
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5+ years of experience in provisioning and maintaining AZ or GCP PaaS components, like SQL DB, MongoDB, Storage Accounts/Buckets, Secret Management tools. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market.
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No-SQL database experience is good to have - DynamoDB, MongoDB, Cassandra etc. Experienced with AWS cloud technologies (EKS, Fargate, Lambda, S3,RDS, terraform). DevOps - Git, Sonar, Jenkins, Monitoring tools (Client, Datadog, AWS Cloud Watch, AWS code pipeline etc.
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Experience with one or more of the following Database technologies: SQL Server, Oracle, PostgreSQL, Redis, MongoDB or similar NoSQL database. Enterprise experience with one or more CI/CD implementation, configuration management, build, and orchestration tools: Jenkins, Maven, Gradle, uDeploy, GitHub, GitHub Actions, Artifactory, Harness IO, Spinnaker, Terraform and Ansible.
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Advanced experience working with databases like Oracle, PostgreSQL, SQL Server, MySQL, MongoDB or Cassandra and messaging frameworks like MQ and Kafka Proficient in writing enterprise level REST services with Java Spring MVC. Experience deploying applications to the cloud using AWS, Azure, or CloudFoundry with experience in creating and maintaining containers with Docker and Kubernates.
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Must Have: Hands on experience in Java, Spring Boot and Angular development, Cloud, MongoDB, Automated deployments experience, Agile Methodology etc. Must Have: Hands on experience in Java, Spring Boot and Angular development, Cloud, MongoDB, Automated deployments experience, Agile Methodology etc.
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The required experience must include at least three years of experience with Encompass SDK, Encompass Administration, MongoDB, AWS EC2, Python, Micro Service Architecture and Kibana. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Fintech, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific.
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Expertise in OpenSearch/Elasticsearch query DSL, aggregations, and full-text search capabilities. Solid experience with OpenSearch/Elasticsearch best practices, indexing strategies, query optimization, and performance tuning.
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Solid experience designing and supporting Enterprise Redis, MongoDB or Cassandra Platforms. Experience in building and deploying Microservices on containers such as Pivotal Foundry Cloud, Docker, or Kubernetes etc.
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Leverage a broad stack of technologies Python, Huggingface, VectorDB, Pytorch, ElasticSearch and more to reveal the insights hidden within huge volumes of numeric and textual data. + At least 5 years' experience in a broad stack of technologies (Python, Pytorch, Huggingface, VetorDB, ElasticSearch.
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Database Technologies: Experience with both relational (SQL Server, PostgreSQL) and NoSQL (MongoDB, CosmosDB) databases, including database design, optimization, and integration with applications.
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