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Experience in leading data engineering team in delivering quality software solutions leveraging Azure cloud, Databricks, Snowflake, Power BI, API/micro services, and Kafka event driven technologies.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The ideal candidate has deep Java development experience along with a proven background in Microservices and Containers Architecture (REST API, Dockers, Kubernetes, ASB) as well as EDA (Event Driven Architecture) using Kafka.
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Design, develop, test, and deploy scalable and reliable data pipelines using technologies like Spark, Kafka, Hadoop, and other big data technologies. Experience in developing and working with big data technologies, such as Spark, Kafka, Hadoop, Hive, etc.
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Hands-on experience with Apache Kafka and/or Spark. Experience in using Databricks for big data analytics and processing. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Messaging (e.g. MQ Series, Kafka etc.) Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong expertise in Java, Spring, Microservices, and REST APIs is essential, with a particular emphasis on Kafka and AWS. In-depth knowledge of Kafka. Strong expertise in Java, Spring, Microservices, and REST APIs is essential, with a particular emphasis on Kafka and AWS.
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Understanding of how streaming technologies work such as Kafka. Designing and implementing microservices which use the spring boot framework. Hands on experience in Java back-end development and skills with Spring-boot framework.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in Computer Science, Management Information Systems, Engineering, or a related field and 10 years of hands on development experience using Java technologies that provide RESTful web services, incoming/outgoing file processing, and asynchronous event based integrations with technologies like MQ and Kafka.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Seeking a Full Stack Java Developer with a minimum of 6 years of expertise in Core Java, Spring, Spring Boot, Microservices, API, API Gateway, JavaScript (React, Angular), Bootstrap, CSS, HTML, Kafka, and MongoDB. The ideal candidate will demonstrate proficiency in both front-end and back-end technologies, contributing to the development of scalable and efficient applications.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Messaging platforms e.g. Kafka. Application Performance Tuning (Lighthouse, browser dev tools, etc.) No-SQL databases e.g. Cassandra. Messaging platforms e.g. Kafka. Browsers (HTTP, APIs, event loop, render cycle, etc.
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Our tech stack includes PHP, Laravel, Swoole, Docker, CI/CD, AWS, PostgreSQL, Kafka, and unit tests, framed within agile scrum methodologies and Restful, event-driven architectures. Desired experience with Kafka, clean & event-driven architectures.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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This position will be responsible for the administration and support of multiple open-source Hadoop NoSQL environments with a secondary role supporting Snowflake and Kafka on-premise and within AWS. You will work closely with infrastructure and development teams to ensure business applications are highly available and performing within agreed on service levels.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. Database: SQL Server, PostgreSQL,Snowflake,Redshift, Aurora,Presto,BigQuery,Oracle. PopularCertifications: AWS Cloud Practitioner,Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
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Build and automate the data ingestion, transformation and aggregation pipelines using Azure Data Factory, Databricks / Spark, Snowflake, Kafka as well as Enterprise Scheduler tools such as CA Workload automation or Control M.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Java FSD (Kafka, Gaia Kubernetes Platform, Splunk, IntelliJ) with Cassandra DB knowledge. Familiary with Kafka, Gaia Kubernetes Platform, Splunk, IntelliJ. Java FSD (Kafka, Gaia Kubernetes Platform, Splunk, IntelliJ) with Cassandra DB knowledge.
Full-timeExpandApply NowActive JobUpdated 18 days ago
kafka job in Columbus, OH
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