Cloud Platform Engineer

3 weeks ago

Bengaluru, Karnataka, India Calix Full time

Cloud Platform Engineer

We are seeking a skilled Cloud Platform Engineer to join our team at Calix. As a Cloud Platform Engineer, you will be responsible for designing, building, and maintaining large-scale cloud-native data lake infrastructure using Presto, Alluxio, S3, Hive, and Spark technologies.

Key Responsibilities:

  • Design and build scalable and reliable cloud-native data lake infrastructure.
  • Implement integration with Zookeeper for coordination and leader election across Datalake components.
  • Configure Presto to access and query data stored in Alluxio and S3, optimizing performance and resource utilization.
  • Deploy and manage Spark clusters for data processing and analytics tasks, leveraging Alluxio and S3 as storage layers.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions that meet business objectives.
  • Develop and maintain automated workflows for data ingestion, processing, and transformation using Spark and other relevant tools.
  • Implement monitoring and alerting solutions to ensure the health and performance of the data lake infrastructure.
  • Provide technical guidance and support to junior team members, fostering a culture of continuous learning and improvement.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field; or equivalent work experience.
  • 10+ years of experience as a Data Engineer or similar role, with expertise in building and managing cloud-native data lake infrastructure.
  • Strong proficiency in Presto, Alluxio, S3, Spark, Hive, and Zookeeper, with hands-on experience in designing and implementing solutions using these technologies.
  • Experience with Spark Administration, Hive administration, Presto administration, and AWS resource management.
  • Experience with monitoring of distributed systems.
  • Experience with infrastructure as code tools such as Terraform/Ansible for provisioning and managing cloud resources.
  • Experience with container orchestration platforms such as Kubernetes for deploying and managing Datalake components.
  • Solid understanding of distributed computing principles, data modeling, and database technologies.
  • Experience with serverless architecture would be a plus, such as Lambda and EMR.
  • Experience in Observability and Monitoring in AWS.
  • Fast learner and able to troubleshoot complex scenarios while processing large volumes of data (Terabytes and Petabytes).
  • Excellent problem-solving skills, with the ability to troubleshoot complex issues and implement effective solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Having Databricks experience would be an added advantage.

Optional Skills:

  • JVM tuning.
  • Alluxio cluster management.

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