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Hands-on experience with any high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. · Minimum of one year working experience in developing cloud native streaming applications using Kafka, Kafka Streams and Spring Framework.
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Experienced with ETL data pipelines: The engineer should have experience in designing and developing ETL data pipelines using tools like Databricks, Informatica, Tibco, Kafka, Argo. Experienced with ETL data pipelines: The engineer should have experience in designing and developing ETL data pipelines using tools like Databricks, Informatica, Tibco, Kafka, Argo.
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Strong working knowledge on Event Driven systems and technologies like Kafka and Rabbit MQ.Knowledge of common security vulnerabilities and mitigations across web, mobile and data applications.
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SALESFORCE Salesforce Architect / SALESFORCE ARCHITECT FSC FINANCIAL SERVICE CLOUD & MARKETING CLOUD SOLUTION TECHNICAL ARCHITECT WHERE this very “Techie” Salesforce architect will build out from the ground floor and work within Financial Services with the Customer, enhance the Saleforce FSC platform and work with a modern Cloud tool skill set such as: Snowflake, Mulesoft & Kafka.
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We are seeking a skilled Software Engineer with experience in design and development of infrastructure using Java, Spring Framework modules, Spring boot, Micro Services, AWS, Kafka, Docker, cloud-based java applications, JSP, Hibernate, Web services (soap and Rest), Maven, Unit Testing (JUnit), MySQL, Oracle, Jenkins, code quality tool Sonar.
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Good to have experience in Kafka, Apigee. Job Title: Dell Boomi Azure Architect. Extensive experience with Dell Boomi platform, including API Management, AtomSphere, and data mapping tools. Good to have experience in Kafka, Apigee.
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Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc. Python, pyspark, snowflake, data bricks, Airflow, Gitlab, Linux. Sigmoid brings deep expertise in data engineering, predictive analytics, AI/ML, and Data Ops.
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Secondary skills: Kafka, Docker, Kubernetes. Strong understanding of the complex inner workings of Cassandra, such as the gossip protocol, hinted handoffs, read repairs, and Merkle trees. Creating a data migration plan including data extraction, transformation, and loading (ETL) processes.
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Experience with distributed message brokers using Kafka (required.
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Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark). Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark.
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3+ years of experience in Python, Java, Spark, Airflow, and Kafka development. Build high-performing clinical data processing frameworks leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store.
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Hands on experience with Java, SpringBoot, Cloud ( Azure/GCP/AWS ), Kafka (or other messaging service), Memcached/Redis or any caching technologies, relational DBMS ( MySQL, Oracle etc ) MUST HAVE: Jave, SpringBoot, Microservices, Cloud Technologies, Kafka, MySQL.
$90,000 - $180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka. As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
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Experience with Spark, Kafka, Python, Java and Hadoop and similar technologies. Experience with Data visualization tools like Tableau, Looker, Power BI. Knowledge of Snowflake and Databricks is a must.
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Exposure to event-driven design and architecture (i.e., Kafka, Spark Flink, etc.) Exposure to agile and iterative software delivery Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.
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kafka job in Dallas, TX
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