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Proficiency in integration platforms such as Mulesoft, Dell Boomi, IBM Integration Bus, Apache Kafka, or similar, with hands-on experience in designing, configuring, and deploying integration solutions.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of big data technologies such as Hadoop, Spark, and Kafka. Familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras. We are seeking an AI Engineer with experience in Python, Node.js, React, and AWS Cloud Foundation to join our team.
Full-timeExpandUpdated 10 days ago - UpvoteDownvoteShare Job
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2+ years of Kafka experience. Our client, Veracity Software Inc, is seeking the following. 2+ years of JMS (Java Message Service) experience. 2+ years of experience in microservices development.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with Cloud-based technologies (Spark, Kafka, Databricks) Experience with Cloud-based technologies (Spark, Kafka, Databricks) Direct experience with Machine Learning techniques (Deep Learning, Sentiment Analysis, Random Forest/Decision Tree modelling.
Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Work on BigData migration projects i.e. moving data from RDBMS to HIVE, stream data through Kafka to DataLake, Pulling data using API into Hive using Big Data tools. Require five years of experience in job offered, SQA Engineer, Sr Software QA Engineer, Senior Test Engineer, SW consultant or related.
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To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor. Experience with AWS Cloud Foundation and Docker. Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Strong hands-on experience building event driven architecture using Kafka. Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark. Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with Terraform, Kubernetes, Jenkins, Kafka, GitHub, OpenShift, and configuration management tools such as Puppet, Chef, or Ansible. Enable DevOps development activities and complex development tasks that will involve working with tools such as Docker, Kafka and container management systems.
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Data Management: NOSQL, Cassandra, MongoDB, Oracle, DB2, SQL Server, Event Streaming, Kafka. DevSecOps CICD Pipelines: Urban Code Deploy, EDSE Pipeline (Cloudbees Core) aka Cloudbees Jenkins, Rancher.
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Experience with various source control tools like GIT (Manual Commands) · Good to have hands-on experience on Kafka or any Streaming Technology · Good to have experience in Splunk, Dynatrace tools.
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Proficient understanding of Kafka client (Producer and consumer) functioning. Hands-on experience with Kafka connectors and understanding of underlying implementation. Ability to design and implement technical solutions for the Kafka On-prem (must) and Confluent Cloud (good to have.
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Experience working with Java, Spring Boot, Kafka, Angular, No-SQL databases, relational databases (Oracle or MySQL or PostgreSQL similar), JavaScript, and HTML5. Experience working with Java, Spring Boot, Kafka, Angular, No-SQL databases, relational databases (Oracle or MySQL or PostgreSQL similar), JavaScript, and HTML5.
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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. 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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Act as a Subject Matter Expert to the organization for cloud and virtualization end-to-end architecture and IaaS, as well as PaaS and SaaS solutions such as AWS RedShift. Strong hands-on experience scripting/development skills in Python, Ruby, Go, Java, JavaScript, etc.
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Experience with big data technologies like Hadoop, Kafka, Hive, and Presto is preferred. Solid experience with AWS components and concepts like S3, Redshift, Glue, Data Lakes, IAM, EC2, EBS/EFS, ELB/ALB, AutoScaling, RDS and replication techniques, VPC, Subnets, Elastic IP, Route53, CloudWatch, CloudFront, Lambda, Databricks, PySpark, and CloudFormation.
ExpandApply NowActive JobUpdated 5 days ago
kafka job in Metuchen, NJ
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