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Cloud Data Engineer Architect (AWS/ Azure with Abinitio) at Rackspace Technology

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Proficiency with AWS or Azure services, Experience with AbInitio product suite, CI/CD pipeline implementation knowledge, Big Data platform experience, Familiarity with open table formats like Iceberg.

Key responsabilities:

  • Build and maintain cloud data processing frameworks
  • Collaborate with customers on scalable data solutions
  • Automate workflows using tools like Apache Airflow
  • Develop and optimize PL/SQL queries
  • Implement CI/CD using Jenkins and GitHub
Rackspace Technology logo
Rackspace Technology Information Technology & Services Large https://www.rackspace.com/
5001 - 10000 Employees
See more Rackspace Technology offers

Job description

Job Title: Data Architect - Abinitio with cloud experience AWS/Azure
Location: Work from Home/ Remote
Shift Time: India General Shift

About the Role:

Our Cloud Data Services Team is looking for a skilled Data Architect (Cloud with Abinitio) for a customer-facing role. In this position, you will work with cutting-edge technologies and tools to build, optimize, and maintain large-scale data processing frameworks on the cloud. You'll collaborate with customers to design and deliver efficient, scalable data solutions.


Key Responsibilities:

Leverage AWS services (S3, EMR, Athena, Glue) or equivalent cloud platforms for data storage and processing.
Proficiency with AbInitio product suite , including experience in PDL, Meta-programming, Conduct>It, Express>It, and GDE-based development.
Implement and maintain CI/CD pipelines using tools like Jenkins and GitHub.
Work with schedulers such as Apache Airflow to automate workflows and data pipelines.
Automate tasks and processes using Python, shell scripting, and other relevant programming languages.
Develop, troubleshoot, and optimize PL/SQL queries for complex data workflows.
Work extensively on Big Data platforms like Hadoop and Hive to process large datasets.
Drive the development of large-scale, self-service enterprise data frameworks.
Exposure to open table formats like Iceberg is highly desirable.



About Rackspace Technology
We 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 Technology
Though 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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Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
Check out the description to know which languages are mandatory.

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