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Platforms/tools (Linux, HDFS, Hive, Hortonworks, Spark, Scala, Python, Java, Kafka, etc.) platforms/tools (Linux, HDFS, Hive, Hortonworks, Spark, Scala, Python, Java, Kafka, etc.) Big Data Developer.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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A Hadoop Admin (Kafka) is responsible for implementation and ongoing administration of Hadoop infrastructure including designing, deploying, monitoring, tuning and troubleshooting. Experience implementing data ingestion solutions using Flume, Kafka, Spark.
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Experience in Kafka and OpenShift. Experience in Kafka and OpenShift. Techno-functional BAs who can write use cases for APIs, Metadata and similar tech architecture components. We have an excellent Job opportunity for Business Analyst (Credit Card Domain.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Kafka: 2 - 4 Years. Spring, Spring MVC, Spring Boot, XML, JSON, RESTful: 4 - 6 Years. NC location interview: 1525 W W T Harris Blvd charlotte, NC. Java Microservices: 6 + Years. Kafka: 2 - 4 Years.
$60 an hourExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Responsible for integrating with REST API Endpoints, Kafka Topics and RDBMS sources with complex SQL queries. Experience with Site Reliability Engineering. Responsible for integrating with REST API Endpoints, Kafka Topics and RDBMS sources with complex SQL queries.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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Experience in the design and implementation of data architectures and concepts such as cloud services Azure Databricks, PySpark. Experience with database technologies such as SQL, NoSQL, HANA, Oracle, Hadoop, or Teradata.
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Strong understanding and experience of asynchronous processing technologies like Active Mq, Kafka, AWS SQS. Must have experience with service implementation using rest-based standards, experience with developing true microservices highly desirable.
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Any experience with stream processing using technologies such as Apache Kafka, Azure Event Hubs, Azure Stream Analytics, and Cosmos DB. Candidate should have experience writing code from scratch, testing their own code, working on a agile team and using that code to interact with some kind of cloud platform, for example, Azure or Snowflake.
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Experience in the design and implementation of data architectures and concepts such as cloud services Azure Databricks. A large utilities company is looking for a Techno Functional Data Consultant to be a key member of their Business Intelligence and Analytics team.
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