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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure.
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Be comfortable using modern backend frameworks (NodeJS, Typescript, HapiJS), microservices, and databases (MySQL, PostgreSQL, DynamoDB, MongoDB, Cassandra) with full ownership of shipping user-facing enterprise products.
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DB2 and MongoDB database working experience. Atlassian suite(Jira, Confluence and Bitbucket) experience. Role: ETL Developer with Attunity experience. DB2 and MongoDB database working experience.
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Hands on experience in database access protocols such as MongoDB, NoSQL, Hadoop etc. Experience with one or more of the cloud platforms and providers, such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure.
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Experience of working on Cloud Technologies - AWS, Azure, Google CloudExperience in development with databases including SQL, MongoDB, Redis and understanding of data processing concepts. The full-stack software developer role involves designing and developing the UI/UX for the RoboMQ iPaaS platform, including Kubernetes hosted backend microservices.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year of experience in Container orchestration frameworks: Kubernetes, Docker Swarm, or Amazon ECS. Enterprise Platforms Technology is laying the groundwork to develop stellar experiences today, and support future experiences we haven't yet dreamt up.
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Experience required with a wide variety of tools and technologies to deliver these services such as Snowflake, Kafka, Tableau, Splunk, Elasticsearch, Databricks, Cloudera, MongoDB and others. Experience required with a wide variety of tools and technologies to deliver these services such as Snowflake, Kafka, Tableau, Splunk, Elasticsearch, Databricks, Cloudera, MongoDB and others.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in a broad range of technologies, including MongoDB, Docker, Singularity, Kubernetes, Django Web Development, Unreal 4 or 5, Linux, and Windows. Demonstrated proficiency in a broad range of technologies, including MongoDB, Docker, Singularity, Kubernetes, Django Web Development, Unreal 4 or 5, Linux, and Windows.
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Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
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The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
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Proficient in configuration management tools such as Ansible or Puppet. Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Data Environments: Cloudbase / HBase, Cassandra, ElasticSearch, Kafka, Lucene / Solr, MongoDB, MySQL, Oracle, PostgreSQL, etc. Data Environments: Cloudbase / HBase, Cassandra, ElasticSearch, Kafka, Lucene / Solr, MongoDB, MySQL, Oracle, PostgreSQL, etc.
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Experience developing with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops. Expertise (4+ years) in distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling, as well as public cloud platform & systems (AWS, GCP, Azure.
$150,000 - $230,000 a yearFull-timeExpandUpdated 17 days ago - UpvoteDownvoteShare Job
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Proven experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (Google Cloud Platform), Oracle Cloud Infrastructure (OCI), and database management systems like MySQL, PostgreSQL, SQL Server, MongoDB.
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Strong knowledge of database technologies, such as Oracle, Microsoft SQL Server, PostgreSQL, and MongoDB. Experience working with large datasets, pipelines, modern warehouse technologies(Snowflake), and data processing, analytical capabilities(Databricks)at real-time and batch.
$122,900 - $204,800 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago
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