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Associate, AWS Certified Solutions Architect - Professional, AWS DevOps Engineer Professional, AWS Certified Solutions Architect - Associate* Provides support for highly distributed, massively parallel computation needs such as Hbase, Hadoop, /Acumulo, Big Table, Cassandra, Scality, et cetera.
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Ensure security of the production, systems and applications for an AWS infrastructure with the current software stack: Django, RDS (MySQL), CDN w/Amazon CloudFront, PlayFramework, Cassandra, ElasticSearch.
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3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra. 3+ years of devops tool chain: Jenkins, Maven, Artifactory, Docker, Terraform, Ansible.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Prior experience in devops, CI/CD pipeline, Jira, ServiceNow, GitLab, Selenium, Docker, Jenkins, Infrastructure Orchestration as code, AWS, GCP, Apigee, Container Orchestration, Hashicorp Stack, etc.
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One (1) year experience working with products that support highly distributed, massively parallel computation needs such as Hbase, Hadoop, Acumulo, Big Table, Cassandra, Scality et cetera. Ten (10) years' experience working with products that support highly distributed, massively parallel computation needs such as Hbase, Hadoop, Acumulo, Big Table, Cassandra, Scality et cetera.
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Frameworks: Spark, PySpark, Python, Apache Airflow and Cassandra, Sprint Boot Micro Services, Apache Camel, Angular 6 UI Framework. Build near real time data pipeline with Apache Spark, Pyspark & Python to extract data from NoSQL DBs and Load it into Cassandra Data Enterprise Graph.
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Job Title: End-to-End Solution Architect (Adobe, AEM, AEP, APIGEE, AWS, API, Cassandra, Agile and DevOps methodologies) Develop scalable, secure, and performant solutions using AWS, APIGEE, and Cassandra, with potential integration of Adobe AEM and AEP.
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Key Technology:cloud, OO language, database systems, devops, machine learning. Deep desire for automation using devops practices and toolsets. 3+ years of working experience in Apache Spark, PySpark, Apache Airflow.
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5+ years of current extensive high-level enterprise architecture and software design 2+ years of experience with public cloud Azure/GCP/AWS/private cloud (PCF), hands-on experience with services like S3, DynamoDB, EKS, SQS, MSK, KMS, ALB. Hand-on experience with CI/CD, Devops best practices, BDD test automation frameworks such as Cucumber, Karate, infrastructure automation tools such as Terraform.
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Experience with Azure DevOps, Azure Cloud Services, Machine Learning. NoSQL databases, including Postgres and Cassandra Data pipeline and workflow management tools: Azkaban, Luigi, and Airflow.
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Experience with Databricks, Azure Data Lake, Azure Devops. The banking sector is the place the be for ambitious ICT professionals who strive to work with the latest technologies; it’s where trends and techniques such as Agile/Scrum, DevOps, Big Data, Internet of Things and Cloud computing first emerge.
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Any of the following: Apache's Hadoop and Accumulo, CASSANDRA, SCALITY or SWIFT, SSH tunneling, SOCKS proxies, rysn, pdsh, pdcp, WinSCP, Linux PXE/Network provisioning, Anaconda Kickstart configurations, RAID, TFTP, open SSL, Java keystore manipulation, SGI/HP hardware including SGI's J series, haproxy, nginx experience with Kubernetes, Docker images, ElasticSearch, logstatsh, filebeats, Grafana, rsylog.
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Experience with the end-to-end DevOps CI/CD pipeline including one or more of Azure DevOps, Jenkins, Maven, Gitlab, and SonarQube. 3+ years of experience using one or more relational and non-relational NoSQL databases (Oracle, SQL Server, Cosmos DB, MongoDB, Cassandra, and Redis), as well as JDBC, XML, XSD, and JSON.
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Experience with Devops tools like Ansible, Vagrant, Azure Resource Manager, Terraform, or AWS Cloud Formation for creation of on-prem or cloud iaC pipelines for automation of database infrastructure deployment and configuration.
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Tensorflow), Lightbend (Akka, Scala), Hashicorp, Datastax (Cassandra, DSE Graph), Confluent (Kafka), and Databricks (Spark, Delta Lake), etc. Experience on Azure cloud, Azure DevOps and various services available on Azure.
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