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Product SME for Confluent Kafka, Apache Spark, Talend. Subject Matter Expert as an Application or Solutions architect in Apache Kafka and Apache Spark. Title: Kafka/Hadoop Admin (L3- Support Engineer.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with SDLC tools and integration frameworks including Git, Gradle, Camel, Kafka. Develop and integrate Java/Groovy components within fixed income technology stack that consists of in-house built components and vendor software such as ECNs, ION, Bloomberg, Broadridge, Polypaths, Murex.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Utilize Kafka, Gaia Kubernetes Platform, Splunk, and IntelliJ for efficient development and deployment processes. Additionally, familiarity with Kafka, Gaia Kubernetes Platform, Splunk, and IntelliJ is highly desirable.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Development experience along with a background in Microservices and Containers Architecture (REST API, Dockers, Kubernetes, ASB) as well as EDA (Event Driven Architecture) using Kafka. Qualifications· Advanced programming experience with at least two modern languages such as Java, Kotlin, Python or C#, including object-oriented and functional programming· Proven understanding of micro-services-oriented architecture, extensible REST APIs and open-source frameworks· Experience with Spring Boot and other Spring projects such as Spring Data, Spring Integration Spring MVC, Spring Cloud, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis). Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis.
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Hands-on Experience with most of the following open-source solutions: oOrchestrate: Airflow, Kubeflow Pipelines, ML RunoContainer: Docker, Kubernetes, Mesos + MarathonoModel Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflowoObservability: Prometheus, Grafana, Elasticsearch Development: oProgramming Language: Java, Scala, Python, JuliaoMiddle Ware: Kafka, MQ, Rabbit MQ etc.
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Deep understanding of streaming data components, including Kafka, Spark, Hadoop, Presto/Trino, Flink and Redis. Demonstrate deep expertise in our core data streaming components, including Kafka, Spark, Hadoop, Presto/Trino, Flink and Redis in a low latency environment.
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Hands on AWS experience in EKS, ECS, AWS Lambda, Terraform, AWS Aurora Postgres, AWS logging and monitoring using Datadog, AWS Security groups, AWS MSK(Kafka) Hands on AWS experience in EKS, ECS, AWS Lambda, Terraform, AWS Aurora Postgres, AWS logging and monitoring using Datadog, AWS Security groups, AWS MSK(Kafka.
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Knowledge of technologies such as Kafka, Kubernetes, Airflow, Ansible is a plus. Knowledge of technologies such as Kafka, Kubernetes, Airflow, Ansible is a plus. Sign up to be added to our Trading Operations Engineer Talent Pool.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Kafka Connect/Kafka streams, JMS, MQ, Tibco. We need: Two senior (10+ Years) Java Developer with RECENT experience working in Capital Markets environments (Prime Services, Securities Lending, Reporting, Hedge Fund) and financial services (Not Commercial Banking Candidates need to have experience with Java Spring Boot, Multi-threading and be HEAVY BACKEND DEVELOPERS. Candidates must have Long Projects/Good Tenure, Excellent communication skills and a State issued ID (Not Bills) showing they are Local.
Part-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands on experience on design solutions using open-source technologies for containers, such as Docker, Kubernetes, Grafana, Open Telemetry, Prometheus, Helm, and Kafka. Hands-on experience with IaC tools such as Terraform, and DevOps tools such as Jenkins, Harness, Artifactory.
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Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques. Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
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Develop and maintain the technology stack (Kafka, Airflow, WMS, Redshift, Commerce Tools) to include commercial or open-source integration platforms. Develop and maintain the technology stack (Kafka, Airflow, WMS, Redshift, Commerce Tools) to include commercial or open-source integration platforms.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The platform has on-prem and Google cloud hosted components, and the technology stack includes open-source software hosted on Google Cloud platform, react based User Interface (UI), event streaming over Kafka, Workflow orchestration using Temporal io and datastores such as PostgreSQL, Oracle, MongoDB. You'll collaborate with other Senior Engineers, Lead Engineers and Analysts on the platform embracing agile practices to incrementally add functionality, with a sharp focus on automation.
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kafka job in Newark, NJ
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