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Cognizant
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Spark Hive

Spark Hive

Cognizant

6 - 14 years

0 Lacs

kochi all india

Posted:2 weeks ago| Platform: Shine logo

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Skills Required

spark hive hadoop oozie kafka cicd

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Big Data Engineer at our company, your role will involve designing, developing, and optimizing distributed systems and Big Data solutions. Your key responsibilities will include: - Implementing and maintaining batch and streaming pipelines using Hive and Spark. - Leveraging your experience in the Hadoop ecosystem, including technologies like Hive, Oozie, and Kafka. - Building and maintaining CI/CD pipelines to ensure efficient code deployment and integration. - Applying design patterns, optimization techniques, and locking principles to enhance system performance and reliability. - Scaling systems and optimizing performance through effective caching mechanisms. - Demonstrating strong computer science fundamentals, logical reasoning, and problem-solving abilities. - Collaborating with cross-functional teams to influence and drive innovative solutions. - Providing technical leadership, mentorship, and presentations to guide team members and stakeholders. You should have experience with Spark Hive and a total of 6 to 14 years of relevant experience. The walk-in interview for this position is scheduled on 10th May in Kochi. Join us and be part of a dynamic team where your skills and expertise will contribute to cutting-edge solutions in the Big Data domain. As a Senior Big Data Engineer at our company, your role will involve designing, developing, and optimizing distributed systems and Big Data solutions. Your key responsibilities will include: - Implementing and maintaining batch and streaming pipelines using Hive and Spark. - Leveraging your experience in the Hadoop ecosystem, including technologies like Hive, Oozie, and Kafka. - Building and maintaining CI/CD pipelines to ensure efficient code deployment and integration. - Applying design patterns, optimization techniques, and locking principles to enhance system performance and reliability. - Scaling systems and optimizing performance through effective caching mechanisms. - Demonstrating strong computer science fundamentals, logical reasoning, and problem-solving abilities. - Collaborating with cross-functional teams to influence and drive innovative solutions. - Providing technical leadership, mentorship, and presentations to guide team members and stakeholders. You should have experience with Spark Hive and a total of 6 to 14 years of relevant experience. The walk-in interview for this position is scheduled on 10th May in Kochi. Join us and be part of a dynamic team where your skills and expertise will contribute to cutting-edge solutions in the Big Data domain.

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