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Python, R, Matlab, Tensorflow, DMTK. - Design, familiarity with DDL and DML for one or more of the following databases Oracle, MySQL, MS SQL Server, IMS, DB2, Hadoop. Java, Spring, Spring Boot, AWS, Kafka, Kubernetes, Oracle, Postgres, DynamoDB, MongoDB, RESTful, Airflow, Redis, Hive, Presto etc.
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3) Implementing microservices using Java, Spring Boot, Python. 7) Develop and maintain distributed Java applications that uses MySql, MongoDB and Postgress and deployed on AWS cloud. 2) Hands on experience using Databases MySql, Elasticsearch and Postgress.
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Experience in data architecture, data warehousing including non-relational and relational databases (e.g., SQL, MySQL, Hadoop, MongoDB), big data (Hadoop, MapReduce, Cloudera, HDFS, Hive, PIG, Impala.
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Our data engineering stack run on Python, MySQL, Spark, and Airflow. Our web applications are built primarily using Ruby, Rails, Javascript (Vue.js), and a bit of Golang. You have a deep understanding of object-oriented programming language like Ruby, a web framework like Rails and a modern JavaScript framework like Vue.js.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Required Qualifications Proven experience in any of the following: WordPress, Shopify, React, Xenforo, PHP, HTML & CSS, JavaScript, TypeScript, Java, Python, Mobile Development (Obj-C iOS, Java Andriod) and/or MySQL. Cloud Platforms - Knowledge of cloud computing platforms like AWS or other cloud VPS providers.
$50,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on Python and Unix shell scripting is required with a strong advocate of DevOps principles in setting up continuous integration of source code pipelines using Bitbucket, Jenkins, Terraform, Ansible and continuous deployment pipelines using Artifactory and Spinnaker.
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Keywords React, JavaScript, Cypress.io, Jest, Enzyme, Java, JUnit, Cucumber, Python, SQL, REST API, Postman, Single Page Applications, DevOps, CI/CD, DX, Agile, TDD / Test-Driven Development. Working knowledge of relational databases (MySQL, Oracle) and NoSQL databases (ElasticSearch, MongoDB, Redis, etc.
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Work regularly with: Amazon Web Services (AWS), Linux/Unix Administration, Maven, Jenkins, GoCD, Docker, Kubernetes, and cloud-based monitoring tools; Prometheus, Grafana, OpenSearch, NewRelic, Java EE (Web applications); Vue. JS, Node.js, (HA) services and infrastructure (load balancers, database clusters, replication, and application server pools), PSQL and MySQL and scripting languages – shell, python.
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I.E., Terraform, Ansible, Chef, GitLab using one or more programming languages [I.E., Python, Perl, etc] on bare metal and virtual environments [I.E., AWS, OpenStack, Proxmox, Azure] Risk Solutions Database Services Team. As a MySQL DBA Contractor you will be working with other top notch DBAs and Architects in a technologically diverse environment in our best-in-class enterprise data centers and cloud based environments.
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Three (3) years of experience must include: GIT; POSTMAN; VSCode; Scrum; CICD; Agile; Python; Javascript; DevSecOps; Kubernetes and AWS; Scalable Design Principles. Design data models and mappings to normalize the data and storing results in serverless MySQL (Aurora SQL on Amazon RDS.
$124,551 - $134,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience writing code to automate monitoring (in Python, Bash/Shell, Perl) and managing deployments in environments such as Terraform or CloudFormation. Experience with SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB.
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Who will work closely with our tech stack: Docker Swarm, Kubernetes, Gitlab, nginx, PHP, MySQL, MongoDB, Redis, RabbitMQ, Gitlab, Ansible, Python, Bash. Database administration — SQL (MySQL, PostgreSQL), NoSQL DB (MongoDB, Redis.
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We are on the hunt for a seasoned Python backend software engineer with specialized experience in developing scalable cloud services, and maintaining machine learning operations with a focus on Natural Language Processing (NLP) and/or Computer Vision.
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Fully proficiency with Python, R, SQL, Linux and shell programming, AWS, Azure and GCP with 3+ years' experience. Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies.
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