AWS Data Engineer

February 3

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Logo of Rackspace Technology

Rackspace Technology

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

IT as a Service • Multi-Cloud • Managed Hosting • Managed AWS/Azure/Google Cloud Platform/OpenStack/Alibaba • Managed Private Cloud for VMware/Microsoft/OpenStack

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. • We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation. • If you like a challenge, you’ll love it here, because we solve complex business problems every day, building and promoting great technology solutions that impact our customers’ success. • The best part is, we’re committed to you and your growth, both professionally and personally. • Overview • Our Big Data Engineers are experienced technologists with technical depth and breadth, along with strong interpersonal skills. • In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. • You will work to build data pipelines and by developing data engineering code (as well as writing complex data queries and algorithms). • If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. • It’s time to rethink the possible. Are you ready?

🎯 Requirements

• Bachelor's degree in computer science, Information Technology, or a related field. • 3+ years design & implementation experience with distributed applications. • 2+ years of experience in database architecture and data pipeline development. • Strong understanding of data modeling, ELT, ETL processes, data lakes, and data warehousing concepts. • Proficiency with AWS services such as S3, Redshift, Glue, RDS, DyanmoDB, EMR, Lambda, Kinesis, and Athena. • Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark). • Experience with programming languages such as SQL, Python, or Scala. • Presentation skills with a high degree of comfort speaking with executives, IT management, and developers. • Excellent communication skills with an ability to hold the right level conversations. • Demonstrated ability to adapt to modern technologies and learn quickly. • Certification in AWS (e.g., AWS Data Engineer Associate, AWS Solutions Architect Associate) is preferred. • #LI-JB2 • #LI-Remote

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