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Experience with cloud automation/provisioning and configuration management tools using Terraform, Ansible, Chef, Puppet, Docker or Salt and experience with Containerization Tools such as Docker and Kubernetes.
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Technical Environment: Python and PySpark programming; Hadoop; HDFS, map-reduce, YARN, AWS EMR; Hive, HBase, parquet, ORC, Spark SQL, Sqoop, Apache Hudi; orchestrating ETL pipelines involving data sourcing, transformations and publishing using Apache Airflow; Apache Kafka; Advanced SQL for data profiling and data validation; Unix commands and scripting; JIRA, Gitlab, and Subversion; EMR; S3; RDS; MWAA; Jenkins; CircleCI; Agile; AWS.
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Design, create, and maintain data pipelines using Apache Airflow, Apache Spark, Docker, and Python. When relevant we extract specific domains to Services currently using Java, Kotlin and Go. We also use Docker, deploy our apps via Kubernetes.
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Azure native containers (AKS) Docker, Kubernetes, KeyVault, HELM, Gitlab pipeline for Azure deployment, Scripts for Azure Infrastructure with Terraform, ServiceNow for change management. Experience with JFrog Artifactory, GitLab, Docker, Helm Chart and Rancher.
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Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers.
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5+ years of hands-on experience in architecting Big Data applications using the Hadoop ecosystem, such as Hadoop (HDFS, YARN, MapReduce), Spark (Spark SQL Spark Streaming, MLLib), Pig, Hive, HBase, Sqoop, Oozie.
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Understanding of docker, Kubernetes, serverless architecture, and Helm. Exposure to platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, and Databricks. Professional Security Certifications: CISSP, CCSP, CISA, CISM, ITIL.
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Experience in Cloud-native technologies and processes, including CI/CD pipelines, and familiarity with supporting tools such as Cloud Foundry, Concourse, Docker, and Kubernetes is a plus. Utilize technologies like ReactJS, Node JS, PostgreSQL, GCP, Pivotal Cloud Foundry, SpringBoot, GraphQL, Coveo Search Engine, HCL Commerce, Apache Kafka, APIGEE, JAVA, Adobe Experience Manager, Event-Driven Architecture, Reactive Architecture, and SAP integrations.
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Knowledge of one or more of the tools – IAC, Containerization and orchestration (Terraform, Docker & Kubernetes) Proficient with using and debugging networks, DNS, HTTP, TLS, load-balancing, build systems, Linux, and Docker.
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3+ years of experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable. 8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS.
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Experience with DevOps tools and methodologies, such as Git, Azure DevOps, Docker, Kubernetes, etc. Experience with infrastructure as code and CI/CD tools, such as Terraform, Azure DevOps, Ansible, Chef, Puppet, etc., is a.
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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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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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