Senior Big Data Hadoop ML Engineer (GCP) - USA
United States - Remote
Full Time Senior-level / Expert USD 182K - 249K
Rackspace
As a cloud computing services pioneer, we deliver proven multicloud solutions across your apps, data, and security. Maximize the benefits of modern cloud.
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 the Apache Hadoop ecosystem (Map Reduce, Oozie, Hive, Pig, HBase, Storm). This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. This is a remote position, requiring excellent communication skills and the ability to solve complex problems independently and creatively.
Work Location: US-Remote
About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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 the Apache Hadoop ecosystem (Map Reduce, Oozie, Hive, Pig, HBase, Storm). This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. This is a remote position, requiring excellent communication skills and the ability to solve complex problems independently and creatively.
Work Location: US-Remote
Duties and Responsibilities:
- Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase.
- Develop, manage, and maintain batch pipelines supporting Machine Learning workloads.
- Leverage GCP for scalable big data processing and storage solutions.
- Implement automation/DevOps best practices for CI/CD, IaC, etc.
Qualifications:
- Bachelor’s degree: Computer Science, Software Engineering or related field of study.
- 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.
- Strong experience in the Apache Hadoop ecosystem
- Proficiency in in the Hadoop ecosystem especially with Oozie and Pig.
- Strong programming skills with Java, Python, and Spark.
- Experience in Infrastructure and Applied DevOps principles in daily work.
- Experience with continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) tool like Terraform.
- Proven experience in engineering batch processing systems at scale.
- Experience with batch pipelines supporting Machine Learning workloads.
Discover your inner Racker: Racker Life
About Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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Categories:
Big Data Jobs
Engineering Jobs
Machine Learning Jobs
Tags: Big Data CI/CD Computer Science Consulting DevOps Engineering GCP Hadoop HBase Java Machine Learning Map Reduce Oozie Pipelines Python Security Spark Terraform
Perks/benefits: Career development
Regions:
Remote/Anywhere
North America
Country:
United States
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