Kafka Architect

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for a Kafka Architect to join our Artificial Intelligence & Analytics practice.
Cognizant’s Artificial Intelligence & Analytics practice
Our practice Artificial Intelligence & Analytics is a global practice working across more than 15 verticals including, Banking & Financial Services, Healthcare, Retail, Consumer Goods & Insurance to deliver cutting edge solutions for their data & analytics requirements.
We specialize in leading technology trends in market like cloud analytics, data modernization, Generative AI & AI/ML solutions.
About the role
We are seeking an experienced Confluent Kafka Engineer with expertise in Azure cloud Data lake to join our team. As a Confluent Kafka Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines using Confluent Kafka, Azure cloud, and Data lake. This includes developing and implementing Kafka clusters, topics, and producers/consumers, as well as integrating Kafka with Azure cloud services such as Azure Storage, Azure Databricks, and Azure Stream Analytics.
Key responsibilities
Design and implement Kafka clusters on Azure cloud, including configuring topics, partitions, and replication factors.
Develop Kafka producers and consumers using languages such as Java, Python, or Scala
Integrate Kafka with Azure cloud services such as Azure Storage, Azure Databricks, and Azure Stream Analytics.
Implement data pipelines using Data lake, including data ingestion, processing, and analytics.
Collaborate with data scientists to ensure that the data pipelines meet the requirements of the data analytics use cases.
Troubleshoot and optimize the Kafka clusters and data pipelines
Develop and maintain documentation of the Kafka clusters and data pipelines

Requirements
Knowledge in designing and implementing large-scale data pipelines using Kafka, Azure cloud, and Data Lake
Experience with Confluent Kafka, including Kafka clusters, topics, and producers/consumers
You need to have experience withing Azure cloud services such as Azure Storage, Azure Databricks, and Azure Stream Analytics
Experience with Data Lake, including data ingestion, processing, and analytics is required.
Strong communication skills are required to collaborate with cross-functional teams.

What you can expect
Become part of a ‘flag ship’ success story - We go through enormous growth!
Organization driven by technology – We have a tremendous technology backbone
Environment where you can make your own ideas reality
Drive your own career
Market conforms benefits