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:
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
Rackspace is committed to offering equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.