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T

SSO Kafka Developer

Tata Consultancy Services

Mumbai, Maharashtra, India ・ フルタイム

最初に応募しよう

経験
6–9 yrs
給料
求人情報
1
投稿済み
7日前
Work mode
在任中
教育
Any graduate
Eligibility
Any graduate with 15 years of full-time education and 6 to 9 years of relevant experience can apply.
Resume
Required to apply

Where you'll work

仕事内容

About TCS

Tata Consultancy Services (TCS) is a major global provider of IT and business solutions, with a workforce of over 612,000 spread across 55 countries and reported revenue of USD 29.08 billion for 2023-24. The company delivers services across areas such as cloud infrastructure, cognitive business operations, cybersecurity, consulting, enterprise solutions, Internet of Things and digital engineering, as well as data and analytics. TCS is also recognized as one of India’s largest equal-opportunity employers and has more than one lakh women associates.

Job Overview

TCS is looking for an SSO Kafka Developer with 6 to 9 years of experience. The role is based in Mumbai, Bangalore, or Hyderabad.

Qualification

Candidates must have completed 15 years of full-time education and should be any graduate.

Skills and Technical Requirements

  • Hands-on experience with Confluent Kafka in a cloud environment.
  • Practical knowledge of Kafka Streams, Connect, and Schema Registry.
  • Ability to build real-time data pipelines and streaming systems.
  • Strong programming ability in Java, Scala, or Python.
  • Experience in designing and implementing solutions within the Confluent Kafka ecosystem.
  • Capability to configure and manage partitions, topics, producers, and consumers.
  • Understanding of real-time streaming architecture design.

Preferred Experience

  • Exposure to healthcare-related data workflows.
  • Working knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Experience with Kafka observability and monitoring practices.
  • Familiarity with ACLs, RBAC, authentication, and authorization controls.

Responsibilities

  • Design and develop real-time data pipelines using Confluent Kafka.
  • Connect Kafka with a variety of source systems and downstream destinations.
  • Improve streaming architectures for better scale and dependable performance.
  • Work closely with data engineering and analytics teams to deliver solutions.
  • Apply security and compliance practices across the data flow.

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