Kafka Engineer : Owings Mills, MD (Hybrid) (Only Local) at Owings Mills, Maryland, USA |
Email: [email protected] |
From: Deepali Jha, SibiTalent [email protected] Reply to: [email protected] Hello, Hope you are doing well!! My name is Deepali Jha and I am a Staffing Specialist at Sibitalent. I am reaching out to you on an exciting job opportunity with one of our clients. Client: T. Rowe Price Job Title: Kafka Engineer Contract: 6-Months Location: Owings Mills, MD 21117 (Only Local) (Hybrid: 2 Days Onsite / 3 Days Remote) Visa: USC/GC Only Need 2-3 professional references I put the top skills I gathered from this call, and since this is a specific skill set, please still share candidates that may be above the rate if they are a good match. Top Skills: Confluent Kafka (SME in Kafka), Automation (Ansible, Python), Hands on experience deploying into AWS (Kubernetes), Linux A local candidate would be ideal for this position since they would need to report onsite day 1. The hiring managers were very specific in saying they should have recent experience with these skills, dont want Role Description The successful candidate will be responsible for developing and managing infrastructure as code (IaC), software development, continuous integration, system administration, and Linux. The candidate will be working with Confluent Kafka, Confluent cloud, Schema Registry, KStreams, and technologies like Terraform and Kubernetes to develop and manage infrastructure-related code on AWS platform. Responsibilities Support systems engineering lifecycle activities for Kafka platform, including requirements gathering, design, testing, implementation, operations, and documentation. Automating platform management processes through Ansible, Python or other scripting tools/languages . Troubleshooting incidents impacting the Kafka platform. Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs. Develop documentation materials. Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems. Monitor, troubleshoot, and optimize the performance and reliability of Kafka in AWS environments. Experience General Ability to troubleshoot and diagnose complex issues (e.g. including internal and external SaaS/PaaS, troubleshooting network flows). Able to demonstrate experience supporting technical users and conduct requirements analysis Can work independently with minimal guidance & oversight. Experience with IT Service Management and familiarity with Incident & Problem management Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and resolving root cause of service issues. Demonstrated ability to effectively work across teams and functions to influence design, operations, and deployment of highly available software. Knowledge of standard methodologies related to security, performance, and disaster recovery Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Required Technical Expertise Develop and maintain a deep understanding of Kafka and its various components. Strong Knowledge in Kafka Connect, KSQL and KStreams. Implementation experience in designing and building secure Kafka/streaming/messaging platform at enterprise scale and integration with other data system in hybrid multi-cloud environment. Experience in working with Confluent Kafka, Confluent Cloud, Schema Registry, and KStreams Infrastructure as code (IaC) using tools like Terraform. Strong operational background running Kafka clusters at scale. Knowledge of both physical/onprem systems and public cloud infrastructure. Strong understanding of Kafka broker, connect, and topic tuning and architectures. Strong understanding of Linux fundamentals as related to Kafka performance. Background in both Systems and Software Engineering. Strong understanding and working knowledge, experience of containers and Kubernetes cluster. Proven experience as a DevOps Engineer with a focus on AWS. Strong proficiency in AWS services such as EC2, IAM, S3, RDS, Lambda , EKS and VPC. Working knowledge of networking - VPCs, Transit Gateways, firewalls, load balancers, etc. Experience in monitoring and visualizing tools like Prometheus, Grafana, Kibana. Competent developing new solutions in one or more of high-level language Java, Python. Competent with configuration management in code/IaC including Ansible and Terraform. Hands on experience delivering complex software in an enterprise environment. 3+ years of Python and Shell Scripting. 3+ years of AWS DevOps experience. Proficiency in distributed Linux environments. Preferred Technical Experience Certification in Confluent Kafka and/or Kubernetes is a plus Thanks & Regards Deepali Jha Sr. Technical Recruiter E-Mail:[email protected] Website: www.sibitalent.com Keywords: continuous integration continuous deployment access management sthree information technology green card Maryland Kafka Engineer : Owings Mills, MD (Hybrid) (Only Local) [email protected] |
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Mon Sep 16 23:50:00 UTC 2024 |