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You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Extensively worked on Anypoint Studio and used it to interface application services by utilizing connectors, components, transformers, filters, flow Control, message routing, Active MQ, Kafka, JMS, and Error Handling.
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Experience with AWS services like S3, EC2, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), B11ROSA (OpenShift). Experience with AWS services like S3, EC2, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), B11ROSA (OpenShift.
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Apache Spark, Kubernetes, Kafka, SIMP Project, Ansible, Docker, GIT, Linux, Suricata, Zeek, Kibana, Logstash, Elastic Search, Neo4J, PostgreSQL, Terraform, Artifactory, GitLab, network engineering, AWS Cloud.
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Hands on experience integrating Oracle ERP systems using RESt/SOAP APIs, microservices and API mangers such as Axway, Apigee, Streams such as Kafka, File based integration using sFTP. Hands on experience integrating Oracle ERP systems using RESt/SOAP APIs, microservices and API mangers such as Axway, Apigee, Streams such as Kafka, File based integration using sFTP.
RemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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This position is for an AWS Cloud Engineer who will support and complete the tasks necessary to design and implement cloud solutions for DTMB agency services supporting MDHHS. The resource will be pivotal in designing, executing, and managing our cloud projects to ensure scalability, reliability, and security.
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Knowledge of SQL and experience with multiple data architecture paradigms (MySQL, MicrosoftSQL, Vertica, Oracle, kafka, Spark) with proficiency in Python, text processing, and python data analysis packages (eg.
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Required experience/skills: Snowflake, Kafka, Rest Services, Spark, Basic Networking Concepts (Routing, TCP/IP, DNS, Firewalls and Security), AWS Technologies (S3, SNS, SQS, IAM), GCP (BigQuery.
$106,700 - $177,900 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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4+ years of experience with any APM and other monitoring tools such as Dynatrace, New Relic, ELK, Splunk, Prometheus, Sensu, Nagios, Kafka, DataDog, and PagerDuty. Experience with infrastructure as code (IaC) using tools like Terraform, Google Cloud Deployment Manager, or similar.
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Ability to quickly adapt to changing business requirements and technologies in a fast-paced environment delivering real-time data applications using streaming data technologies like Apache Kafka, Google Cloud Pub/Sub, or Amazon Kinesis.
$180,000 - $250,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Java, Spring boot, Kafka, Jenkins/Cloud bees, Gitlab, Apigee, Istio, Kubernetes, Rancher. within Elavon Business, you will be working closely on a tight knit team that will be developing the next generation products to solve the business use cases for Domain Services, System Integrations and Digital Innovations.
$108,375 - $140,250 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Site Reliability Engineer (SRE) Lead Site Reliability Engineer. No matter what you choose, we offer a work life that works for you, including Immediate medical, dental, and prescription drug coverage, generous PTO, retirement, and savings plans, incentive compensation, tuition assistance, a vehicle discount program, and much more.
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Regularly review key site technical metrics such as transaction errors, logging, response times, caching strategies, conversion/bounce rates, capacity & resource utilization. Participating in an on-call rotation for incident response and support.
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As a key member of our Enterprise Technology Group, you’ll play a critical part in crafting the future of mobility. Automating deployment, monitoring, and incident response processes. Will your career be a deep dive into what you love or a series of new teams and new skills.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka; Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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kafka job
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