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Expertise in building Big Data Services using open source technologies like Elastic Search, Flink, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk. Deep understanding and experience building services on the public cloud (AWS, GCP, Azure, etc.
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Experience with tools/products such as: Ansible, Terraform, Cloud Foundry, OpenShift, Kubernetes, GKE/GCP, AWS (Preferred), Azure, Elastic Stack, Jenkins, Concourse, BOSH, or similar DevOps Computing tools or products.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Minimum 1+ years of experience with cloud platform services and application development using Microsoft Azure or GCP or AWS. Knowledge of UNIX and Windows operating systems. Experience with database technologies (Oracle, DB2, UDB, and/or SQL Server) and/or NoSQL (MongoDB) databases.
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things , Blockchain , FPGA , and AI. are leading trading and financial organizations, insurance companies, large healthcare associations, pharmaceutical and energy companies, equipment manufacturers, hi-tech startups, etc.
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Cloud architect certification such as AWS Certified Solutions Architect, IBM Certified Cloud Solution Architect v2, Oracle Cloud Infrastructure Architect Associate Certification, or CompTIA Cloud Essentials.
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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using Jenkins, ansible, rundeck, Jfrog artifactory.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with SQL and database technologies, including Elasticsearch, Solr, Impala, Kafka, HBase, Accumulo, Cassandra, Impala, Neo4j, ArangoDB, OrientDB, AWS DynamoDB, Redshift, PostgreSQL, MySQL, MariaDB, MongoDB, Oracle, or MSSQL.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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AWS Data Analytics, Machine Learning, or Solutions Architect Certification. Experience in working with Cloud filesystems, including AWS S3. Experience with scaling data across distributed data engineering and computing, including Apache Nifi, Airflow, Spark, Dask, or Luigi.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Have experience in: Nodejs framework, Git, Docker, Databases (preferably MySQL, Mongodb), AWS, Kubernetes, CI/CD, REST APIs. Should have experience with Python and experience with AWS.
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ODeveloping data pipelines, architecture, and data models using MySQL, MongoDB, DynamoDB (or similar database technologies), and modern data ETL platforms. oFamiliarity with modern cloud engineering infrastructure, techiques, and offerings (Azure, AWS, etc.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Database Engineer will support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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Databases: MySQL, PostgreSQL, MongoDB, or similar. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Front-end: HTML, CSS, JavaScript, React, Angular, or Vue.js. Experience with real-time communication technologies like Channels, Socket.io, or Pusher.
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