MongoDB

Cognizant

2 - 5 years

Hyderabad

Posted: 26/02/2025

Job Description



Job summary

Work with Apache NiFi to design and manage data flows between systems.

Collaborate with Confluent Kafka to establish dataflow between NiFi and Kafka.

Determine MongoDB clustering strategies based on data load and throughput.

Define and establish the structure for MongoDB collections.

Configure MongoDB collections for optimal performance.

Deploy MongoDB settings and collections in a production environment.

Establish Production Monitoring and alerting Strategy


Qualifications

  • Possess a strong understanding of MongoDB and its application in real-world scenarios.
  • Demonstrate proficiency in using Apache Nifi for data integration and workflow automation.
  • Have experience with Kafka for real-time data streaming and processing.
  • Show familiarity with GCP services and their application in enhancing performance.
  • Exhibit a solid background in the Payer domain understanding its unique challenges and requirements.
  • Display excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Communicate effectively with cross-functional teams and stakeholders.
  • Maintain a proactive approach to learning and adopting new technologies.
  • Demonstrate strong organizational skills and attention to detail.
  • Work independently and as part of a team to achieve
  • About Company

    Cognizant is a global leader in technology and consulting services, helping businesses transform their operations through digital solutions. Specializing in IT services, including software development, business process outsourcing, and consulting, Cognizant supports clients across industries such as healthcare, financial services, manufacturing, and retail. With a focus on innovation, Cognizant assists organizations in modernizing their technology, improving operational efficiency, and enhancing customer experiences. Headquartered in the U.S., it is consistently ranked among the most admired companies in the world and is a member of the NASDAQ-100.

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