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Sr Big Data Engineer (GCP)- Airflow and Oozie

Rackspace

Role brief

Description

About the Role:
We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and scaling both stream and batch processing systems, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.

What you will be doing
Build a reusable, and reliable code for stream and batch processing systems at scale. This includes working with technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark. Implementing automation/DevOps best practices for CI/CD, IaC, Containerization, etc.

About the Role:
We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and scaling both stream and batch processing systems, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.

What you will be doing
Build a reusable, and reliable code for stream and batch processing systems at scale. This includes working with technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark. Implementing automation/DevOps best practices for CI/CD, IaC, Containerization, etc.

Requirements:

  • Job Title: Sr Big Data Engineer (GCP) - Airflow and Oozie
  •  
  • About the Role:
  • We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in Oozie, the Apache Hadoop ecosystem, Airflow, and a solid understanding of public cloud technologies, especially GCP.  This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.
  •  
  • What you will be doing
  • -          Develop scalable and robust code for batch processing systems. This includes working with 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
  • -          Implementing automation/DevOps best practices for CI/CD, IaC, etc.
  • Requirements:
  • -       Experience with GCP managed services and understanding of cloud-based batch processing systems are critical.
  • -       Proficiency in Oozie, Airflow, Map Reduce, Java
  • -       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.


  • Must Have:

  • Must Have
  • -       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
  • -       5+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure
  • -       Technical degree: Computer Science, software engineering or related