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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin, while also contributing to ML Ops. Responsibilities: Design, build and configure a highly scalable and robust data platform on Azure and Databricks.
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McDonald’s is in search of a Data Engineer with a strong background in DevOps engineering. 5+ years of proficiency with AWS including EC2, EMR, S3, Kinesis, Kafka, Redshift, RDS Databases, Cloudwatch, Cloudtrail, Step Functions, IAMs, and Snowflake -Familiarity with Azure is a plus.
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Your role as a DevOps Engineer will be supporting our team focused on the solution, build and testing of tools and applications within an R&D environment. Deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
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Are you a machine learning engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? 2+ years of experience with DevOps and automation frameworks, including Ansible, Jenkins, Terraform, Tekton, GitLab CI/CD, or GitHub Actions to streamline the software delivery process in event-sourced applications.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Responsible for Release Management, Service Management and build configuration in highly integrated environment while using DevOps tools like Jenkins, Rundeck, API gateways, AppDynamics and Splunk.
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Have knowledge of DevOps tools such as Ansible, Puppet, Terraform, CloudFormation, Jenkins, and Spinnaker. Have deep knowledge of Apache Tomcat, Kafka, Django, RMQ, ELK, Nginx, F5, Client, Grafana, Prometheus, and AppDynamics.
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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Come join Kohler Ventures as Sr. DevOps Engineer we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
$101,100 - $202,540 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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We are looking for a GCP Data Architect/Engineer who has experience in building enterprise level solution on GCP cloud environment with Kafka, Pubsub, Snowflake, BigQuery, Cloud function, AI Platform, Dataflow, Dataproc, Cloud Compute, AppEngine, etc.
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Kafka (Confluent/Cloudera), AWS MSK, Azure Event Hub. Technical reference of the products for the devops teams. kafka (Confluent/Cloudera), AWS MSK, Azure Event Hub. Leading transformation projects on-prem-cloud support teams.
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Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers.
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4+ years of hands-on experience in Site Reliability Engineering or DevOps role. Experience in managing distributed systems like Kafka/Scylla/Cassandra etc. Experience with infrastructure automation and container orchestration tools - Docker, Kubernetes, Terraform, Helm etc.
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Utilize code versioning tools Git and DevOps environments: Maven and Jenkins. Leverage new technologies to build the next generation of Kafka SDK that will be used across the organization.
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5+ years of experience as DevOps and/or AWS Solutions Engineer required. AWS Certification(s) such as Solutions Architect Pro, DevOps Engineer Pro, SysOps Admin, Developer Associate.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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