Job Overview
Company
Risk Resources LLP
Category
Computer Occupations
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Job Description
<p><p><b>Role :</b><br/><br/><b>Required Technical Skill Set : </b></p><p><br/></p><p>- Sound knowledge of Apache Kafka Configuration and Pub/Sub Integration, Java, Microservices<br/><br/><b>Desired Competencies (Technical/Behavioral Competency)</b><br/><br/><b>Must-Have : </b></p><p><br/></p><p>- Developing scripts/code for Kafka Connector<br/><br/></p><p>- Developing scripts/code for Kstream<br/><br/></p><p>- Developing Publisher and Subscriber for Kafka Topics<br/><br/></p><p>- Configure Kafka topics with Different consumer groups and Partitions<br/><br/></p><p>- Setting up Kafka cluster and security for Kafka cluster<br/><br/></p><p>- Develop Java Code, Spring/Spring Boot microservices, SQL and UNIX scripts<br/><br/><b>Good-to-Have :</b><br/><br/></p><p>- Experience in Agile development environment<br/><br/></p><p>- Experience in BFSI Domain, specifically corporate : <br/></b><br/>- Engage with the customer to understand the requirements, provide technical solutions, provide value added suggestions<br/><br/>- Help build and manage the team of Kafka and Java developers in the near future.<br/><br/><b>Key Skills/Knowledge : </b></p><p><br/></p><p>- Engineer having competencies like Apache Beam, GCP Cloud, Open Shift<br/><br/></p><p>- Should have experience in Java and Kafka Streaming.
GCP and Kubernetes knowledge nice to have.<br/><br/></p><p>- Develop and Deploy data and analytics-led solutions on GCP<br/><br/></p><p>- Experience designing highly available and scalable systems<br/><br/></p><p>- Hands-on of Data Engineering solutions using Cloud BigQuery, Cloud DataFlow, Cloud BigTable, Storage, Cloud Spanner, Cloud IAM<br/><br/></p><p>- Understanding of Apache Kafka<br/><br/></p><p>- Proficiency in cloud based ETL/Data Orchestration tools like Apache Beam, Cloud composer<br/><br/></p><p>- Experience in Stack driver logging/monitoring<br/><br/></p><p>- Experience in Python is a MUST<br/><br/></p><p>- Hands-on experience with Apache spark and its components(Streaming) is a strong advantage<br/><br/></p><p>- Experience with automation tools such as Ansible, Terraform<br/><br/></p><p>- Familiar with containers like Kubernetes, Docker, Helm<br/><br/></p><p>- Ability to effectively communicate complex technical concepts to a broad range of audiences</p><br/></p> (ref:hirist.tech)
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