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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase.
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2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar) Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Expertise in integrating systems and hands-on expertise on Kafka/Active MQ/Rabbit MQ Expertise in Microservices, Kubernetes and Dockers Expertise in deployment of micro-services in AWS and familiar with S3, EC2, Lambda.
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At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka) Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka.
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Experience with frameworks such as Kafka, Cassandra, Redis, Elasticsearch, and S3. Our cloud-native, AI-powered operating system and technology platform are transforming investment operations to enable reduced fees and the ability to offer new and innovative products, including crypto-asset services, while scaling for the future.
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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.
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Experience in wide variety of distributed systems and frameworks such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more. Skills : Kafka, spark, python, SQL, java.
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Developing and maintaining frontend, middle-tier and backend modules using Java, Spring web services, MQ, KAFKA, SQL and Cloud technologies. Developing and maintaining frontend, middle-tier and backend modules using Java, Spring web services, MQ, KAFKA, SQL and Cloud technologies.
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Experience in configuring and testing messaging services, especially RabbitMQ, Kafka, or AMQP. Experience with infrastructure automation (Terraform, Ansible, etc.) Experience in configuring and testing messaging services, especially RabbitMQ, Kafka, or AMQP. Experience with infrastructure automation (Terraform, Ansible, etc.
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Experience with big data processing technologies such as Spark, Hadoop, or Kafka. with front-end development knowledge including HTML, CSS, Tailwind, JavaScript/TypeScript, React, and Storybook.
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This Chapter is focused on Data as a primary competency however we work on a wide variety of technologies including AWS, Oracle, Snowflake, Python, REST/API, Kafka, and others. We assist companies and non-profit organizations in delivering benefits to their employees.
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Airflow, AWS, Kafka, Git, Kubernetes, CI/CD, and Docker Containerization. Experience must include 2 years in the following: active development with Python, Anaconda, Spark, Hive, and Kafka.
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Developing and maintaining frontend, middle-tier and backend modules using Java, Spring web services, MQ, KAFKA, SQL and Cloud technologiesWork closely with developers, architects and a variety of end users to ensure technical compatibility and user satisfaction.
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Broad expertise and experience with distributed systems, streaming systems, and data tools, such as Kubernetes, Kafka, Airflow, Dagster, etc. Broad expertise and experience with distributed systems, streaming systems, and data tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
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In this role, you will leverage a modern data stack, with platforms such as Snowflake, Kafka, Dagster, and dbt (we're built on AWS). In this role, you will leverage a modern data stack, with platforms such as Snowflake, Kafka, Dagster, and dbt (we're built on AWS.
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kafka job in Boston, MA
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