Company

KeylentSee more

addressAddressAtlanta, GA
type Form of workFull-Time
CategoryInformation Technology

Job description

Request-ID: 19842-1
Role: Staff Data Integration Engineer - Technical Lead
Location: Hybrid Atlanta - GA USA
Client: Mastery Logistics Systems/Cognizant
Hours: Mon to Friday (9.00 AM TO 7.00 PM EST)
Required skillset:
1. Maven, XML, Web Services, Spring MVC
2. Kafka
Job Summary:
This position requires a team player who can wear multiple hats when needed.
As a technical expert, you must be comfortable working across engineering domains on a variety of high impact projects.
You will be a valued part of a group that is constantly maturing Kafka use and event-driven architecture.
Members of this team are responsible for the overall use and implementation of Kafka components including the Confluent platform, observability, governance, best practices, and solution development.
An advanced understanding of Kafka principles and enterprise integration patterns is required.
In order to be successful: • You are a team player. • You are a self-directed person who can identify priorities. • You are responsive and available for fast-paced operational and developer requests. • You are a detail-oriented person who takes pride in keeping data correct and always having a backup plan. • You are a problem-solver who might write some code or find a tool to get things done when there isnt an established solution. • You are a leader in the event-driven world. • You are a Kafka expert. Responsibilities • Develop and implement solutions using Kafka in .NET, Node.js, and scripting. • Responsible for regular duties related to an on-call rotation. • Regular pair programming sessions with engineers. • Administer and improve use of Kafka across the organization including Kafka Connect, ksqlDB, Streams, and custom implementations. • Work with multiple teams to ensure best use of Kafka and data-safe event streaming. • Develop deployment pipelines to Kubernetes for Kafka components. • Identify and monitor both self-managed and fully managed Kafka components.
• Understand and apply event-driven architecture patterns and Kafka best practices.
Refer code: 7636228. Keylent - The previous day - 2024-01-04 02:42

Keylent

Atlanta, GA
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