AWS Data Engineer
Job Title:
AWS Data EngineerLocation:
Seattle, WA Responsibilities Responsible for designing, developing, and deploying scalable and reliable systems that can handle high volumes of data Develop and implement efficient and scalable solutions using Confluent Kafka, Java, and Spring Boot technologies Work closely with other engineers to ensure that data pipelines are integrated with existing systems and meet the needs of the business Design, develop, and deploy Kafka-based data pipelines Work with AWS services to manage and process data Mentor and train junior engineers Provide expertise in integration architecture and best practices, ensuring optimal system performance and reliability Collaborate with stakeholders to identify opportunities for process improvement and optimization within the retail industry domain Conduct code reviews, identify areas for improvement, and ensure adherence to coding standards Troubleshoot and resolve integration issues, ensuring smooth data flow and system interoperability Stay up to date with the latest trends, technologies, and advancements in the Confluent Kafka ecosystem and integration domain
Qualifications:
7
years of professional experience as an AWS MSK /Apache Kafka/ Confluent Kafka developer with deep understanding of Kafka Development Well versed with Kafka and streaming internals, Java, Spring Boot and similar technologies Direct experience or working knowledge with AWS technologies including ECS/EKS, Lambda, API Gateway, S3, Terraforms and Kafka Sound knowledge with authorization and authentication approaches like oAuth, SSO/SAML Experience with build tools like maven, gradle and unit test tools like Junit, Mocito Foundational experience with service orchestration and messaging technology Experience with Kafka governance Experience with Agile development methodologies Recommended Skills Agile Methodology Apache Kafka Apache Maven Build Tools Business Process Improvement Code Review Estimated Salary: $20 to $28 per hour based on qualifications.
AWS Data EngineerLocation:
Seattle, WA Responsibilities Responsible for designing, developing, and deploying scalable and reliable systems that can handle high volumes of data Develop and implement efficient and scalable solutions using Confluent Kafka, Java, and Spring Boot technologies Work closely with other engineers to ensure that data pipelines are integrated with existing systems and meet the needs of the business Design, develop, and deploy Kafka-based data pipelines Work with AWS services to manage and process data Mentor and train junior engineers Provide expertise in integration architecture and best practices, ensuring optimal system performance and reliability Collaborate with stakeholders to identify opportunities for process improvement and optimization within the retail industry domain Conduct code reviews, identify areas for improvement, and ensure adherence to coding standards Troubleshoot and resolve integration issues, ensuring smooth data flow and system interoperability Stay up to date with the latest trends, technologies, and advancements in the Confluent Kafka ecosystem and integration domain
Qualifications:
7
years of professional experience as an AWS MSK /Apache Kafka/ Confluent Kafka developer with deep understanding of Kafka Development Well versed with Kafka and streaming internals, Java, Spring Boot and similar technologies Direct experience or working knowledge with AWS technologies including ECS/EKS, Lambda, API Gateway, S3, Terraforms and Kafka Sound knowledge with authorization and authentication approaches like oAuth, SSO/SAML Experience with build tools like maven, gradle and unit test tools like Junit, Mocito Foundational experience with service orchestration and messaging technology Experience with Kafka governance Experience with Agile development methodologies Recommended Skills Agile Methodology Apache Kafka Apache Maven Build Tools Business Process Improvement Code Review Estimated Salary: $20 to $28 per hour based on qualifications.
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