Cloud Data Engineer (AWS/ Azure)

Rackspace Technology is seeking a skilled Cloud Data Engineer (AWS/ Azure) for their Cloud Data Services Team in Bangalore, India. This customer-facing role involves working with cutting-edge technologies to build, optimize, and maintain large-scale data processing frameworks on the cloud. The ideal candidate will collaborate with customers to design and deliver efficient, scalable data solutions.

Key responsibilities include:

• Leveraging AWS services (S3, EMR, Athena, Glue) or equivalent cloud platforms for data storage and processing
• Demonstrating proficiency with AbInitio product suite, including PDL, Meta-programming, Conduct>It, Express>It, and GDE-based development
• Implementing and maintaining CI/CD pipelines using tools like Jenkins and GitHub
• Working with schedulers such as Apache Airflow to automate workflows and data pipelines
• Automating tasks and processes using Python, shell scripting, and other relevant programming languages
• Developing, troubleshooting, and optimizing PL/SQL queries for complex data workflows
• Working extensively on Big Data platforms like Hadoop and Hive to process large datasets
• Driving the development of large-scale, self-service enterprise data frameworks
• Experience with open table formats like Iceberg is highly desirable

Rackspace Technology offers a collaborative work environment and has been recognized as a best place to work by Fortune, Forbes, and Glassdoor. They are committed to embracing technology, empowering customers, and delivering the future. The company values diversity and unique perspectives, welcoming applications from individuals of all backgrounds.