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Java/Microservices/ (Kafka or Kinesis) & Docker, Kubernetes / Spring batch. Formal AWS training or advanced AWS certifications demonstrating deep knowledge of AWS Compute, AWS Relational database Systems, No Sql databases, Memory processing, server less designs, orchestrations & data streaming (Kafka or Kinesis) is a must.
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5 years of experience in integration design and operationalization (REST APIs, Kafka, Golden Gate, ETL, Snowflake) 7+ years of experience supporting Pharmaceutical content management solutions and integration (Authoring, Submissions, Archival, TMF, Quality, DAM, PLM.
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Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Experience with public cloud environments(AWS, Azure, GCP), preferably experience with Google Cloud services like Bigquery, GCS, Cloud Composer, PubSub.
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6-10 years of experience working with Java, Spring Boot, Kafka, Angular, relational databases (Oracle or MySQL or PostgreSQL similar), No-SQL databases (MongoDB or similar), JavaScript, HTML5. REQUIRED: Java, Spring Boot - relational databases (Oracle or MySQL or PostgreSQL similar), JavaScript, HTML5 - Java Rest APIs - Continuous development and Continuous Integration (CI/CD) - Dev Eclipse, Git, Jenkins, Docker, OpenShift.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar) Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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Strong expertise in AWS cloud services – EC2, S3, Lamba, Aurora, ECS, Kafka etc. using REST, SOAP APIs, Mulesoft, Kafka, Messaging and other Integration patterns using AWS. Our goal is to achieve Real Zero carbon emissions from our operations by 2045 by expanding our solar capacity, increasing battery storage and bringing new renewable energy opportunities to Florida, while improving customer affordability and reliability.
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Hands-on experience with Kafka, Flink, Spark, or PulsarExperience designing systems that integrate 3rd party code and componentsExperience with Kafka and streaming data processingFostering a diverse, welcoming and inclusive environment is important to us.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Web Technologies: IIS, Azure Web Apps, PHP, Apache, Tomcat, Cassandra, Kafka, Nginx, HAProxy, MySQL etc. Strong understanding of regulatory requirements and compliance issues affecting clients related to privacy and data protection, such as PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border, and U.S. State Data Privacy Laws.
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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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3+ years of Experience with Apache Spark, Kafka, Pig, Oozie, Flume, and Streaming and similar distributed computing technologies. Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Our primary tech stack consists of Golang, Kubernetes, Postgres, and Elasticsearch, but we also use tools like ScyllaDB, Redis, Kafka, SQS, and various other AWS services as well. Required Experience:Experience with programming languages such as Go Lang, Python, or Java. Experience with Docker, Kubernetes, GraphQL, Postgres, Elasticsearch, ScyllaDB, Redis, Kafka, SQS, Docker, databases or AWS services.
InternExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You will work with Rust, Go, Ruby, gRPC, Redis, Kafka, and PostgreSQL. Experience with any of Redis, Kafka, etcd, ZooKeeper, nginx, haproxy, Scylla. We’re venture-backed by SignalFire, Rakuten Ventures, Y Combinator, HubSpot, and BAM Elevate (read more about our recent Series C.
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Streaming ETL: Apache Beam, Kafka. Any experience with Spark, PySpark, or Kafka is a plus. Google Cloud Platform Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis.
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Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX. to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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kafka job
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