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Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc.
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Familiarity with database and SQL-based technology such as Oracle DB, PostgreSQL, and NoSQL stores a benefit, e.g. Cassandra, MongoDB, and data lakes such as Snowflake. Experience with DevSecOps and cloud-native technology having practical experience with tools such as Docker, Kubernetes, Jenkins, and Terraform is a plus.
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Knowledge or experience in designing and deploying data processing systems with technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik, or others.
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Experience with Apache NiFi, Bootstrap, Database technologies (PostgreSQL, MySQL, Mongo, ElasticSearch, etc. Experience with Front-End Web Development using modern technologies including Vue.js, JS, HTML5, CSS3, NodeJS, React, other.
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Experience with our stack is a plus: Typescript, Node.js and PostGreSQL. The rest of our stack includes GraphQL, AWS (S3, EventBridge, SQS, Lambda, ECS, CDK) and Snowflake. Experience with our stack is a plus: Typescript, Node.js and PostGreSQL. The rest of our stack includes GraphQL, AWS (S3, EventBridge, SQS, Lambda, ECS, CDK) and Snowflake.
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Experience with tRPC, Tailwind, Express, Nest, GraphQL, Socket.io, PostgreSQL, and DynamoDB. Develop and maintain secure and scalable backend services using Express, Nest, GraphQL, Socket.io, and databases like PostgreSQL and DynamoDB.
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AWS Knowledge: Hands-on experience with various AWS services, including EKS, Amazon Aurora PostgreSQL, DynamoDB, S3, IAM, Route 53, ELB, SNS, SQS, and Managed Streaming for Apache Kafka (MSK). AWS Knowledge: Hands-on experience with various AWS services, including EKS, Amazon Aurora PostgreSQL, DynamoDB, S3, IAM, Route 53, ELB, SNS, SQS, and Managed Streaming for Apache Kafka (MSK.
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Develop serverless cloud-native backend application in AWS using API Gateway, Lambda, AppSync, DynamoDB, KMS, Secrets manager, Glue, S3, Aurora PostgreSQL, CloudFront, CloudWatch, WAF, Cognito, ACM, VPC, IAM roles-policies-permissions, Athena, SQS, SNS, EC2, Step functions, ElastiCache, Trusted Advisor, SES, Well-Architected tool, CloudTrail, IoT Core, etc.
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Database Management Systems (DBMS) Knowledge -Understanding of various database management systems such as Oracle, MySQL, SQL Server, PostgreSQL, MongoDB, etc., including their architecture, features, and functionalities.
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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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The products our portfolio include Microsoft Fabric, Azure SQL Database, Azure Cosmos Database, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of Artificial Intelligence (AI), powering a new class of data-first applications and driving a data culture.
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5 or more years of experience with Databases (examples: PostgresQL, SQL, PL/SQL, Oracle, SQL Server, DB2.) 5 or more years of experience with Build and Release Engineering / DevOps, Such as Make, Jenkins, Cruise Control, Remedy, Vagrant, Puppet, Fisheye, AWS, Azure stack hub Nagios, Rally, Hudson, Chef, Ant, Maven, Tekton, Kubernetes, Gradle, HUDSON, Docker, and Bamboo.
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AWS RDS, PostgreSQL, MySQL, or MongoDB. As a Site Reliability Engineer (SRE) II at Cox Automotive, you will be a pivotal player in managing, supporting, and facilitating infrastructure operations for developers building software systems.
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Experience and familiarity with relational databases and ability to support/troubleshoot data backup, verification and validation activities for server-based tools and solutions (Oracle, SQL Server, InfluxDB, PostgreSQL, MySQL.
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Experience with container technology (Docker, Podman, Kubernetes, OpenShift, Rancher, Tanzu) Experience installing and supporting server-based DevOps tools such as Jira, Git, BitBucket, GitLab, Confluence, Coverity, Jenkins, IBM Rational products, and Microsoft Azure DevOps Server.
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