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LIVEC STAFFING SERVICES PRIVATE LIMITED

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Senior GCP Data Engineer

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Summary

Senior data engineer who designs, builds, and maintains scalable data pipelines on Google Cloud Platform, using Kafka for real-time streaming and DBT for transformations, while managing deployments with Kubernetes and CI/CD. On-site roles based in Bangalore, Chennai, or Hyderabad.

We are seeking a highly skilled Senior GCP Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and implementing data solutions on the Google Cloud Platform (GCP). As a Senior GCP Data Engineer, you will be responsible for building robust data pipelines, ensuring data quality, and optimizing data workflows using tools such as Kafka and DBT. You will also play a key role in the deployment and management of cloud infrastructure using CI/CD practices and Kubernetes. Key Responsibilities: - Design, develop, and maintain scalable data pipelines on GCP. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Implement data transformation processes using DBT and ensure data integrity. - Utilize Kafka for real-time data streaming and processing. - Manage cloud infrastructure and deployments using Kubernetes and CI/CD methodologies. - Monitor and optimize data workflows for performance and reliability. - Stay updated with the latest trends and technologies in cloud data engineering. Required Skills: - Strong expertise in Google Cloud Platform (GCP). - Proficiency in data engineering tools such as Kafka and DBT. - Experience with CI/CD practices and tools. - Familiarity with Kubernetes for container orchestration. - Solid understanding of cloud computing concepts and data architecture. - Excellent problem-solving skills and ability to work in a fast-paced environment. If you are passionate about data engineering and have a proven track record of delivering high-quality data solutions, we would love to hear from you. Join us in leveraging the power of cloud technology to drive data-driven decision-making in our organization.

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