Rackspace Technology is hiring a
Sr Big Data Engineer in India

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Sr Big Data Engineer
🏢 Rackspace Technology
💵 $120k-$180k
📍India
📅 Posted on Jul 1, 2024

Summary

The job is for a Senior Big Data Engineer with expertise in GCP, Airflow, Oozie, and the Apache Hadoop ecosystem. The role involves developing and scaling batch processing systems, implementing automation/DevOps best practices, and working remotely.

Requirements

  • Experience with GCP managed services and understanding of cloud-based batch processing systems are critical
  • Proficiency in Oozie, Airflow, Map Reduce
  • Strong programming skills with Java (specifically Spark), Python, Pig, and SQL
  • Expertise in public cloud services, particularly in GCP
  • Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, Map Reduce
  • Familiarity with BigTable and Redis
  • Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes
  • Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions
  • Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals
  • Proven experience in engineering batch processing systems at scale
  • Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous

Responsibilities

  • Build a reusable, and reliable code for stream and batch processing systems at scale
  • Develop scalable and robust code for batch processing systems using technologies like Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase
  • Develop, Manage and optimize data workflows using Oozie and Airflow within the Apache Hadoop ecosystem
  • Leverage GCP for scalable big data processing and storage solutions

Preferred Qualifications

  • Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification
  • 10+ years of experience in customer-facing software/technology or consulting
  • 5+ years of experience with ‘on-premises to cloud’ migrations or IT transformations

Benefits

Remote work

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