AWS Data Engineer
Description For AWS Data Engineer
Rackspace Technology is seeking an AWS Data Engineer to join their cloud data services team. As a full spectrum AWS integrator, they help hundreds of companies realize the value and efficiency of cloud technologies. The role involves building and maintaining complex data pipelines, working with cutting-edge technologies, and solving challenging business problems.
The position requires a skilled technologist with both technical depth and strong interpersonal skills. You'll work directly with customers to enable innovation through continuous, hands-on deployment across technology stacks. The role involves developing data engineering code, writing complex data queries, and implementing sophisticated algorithms.
The ideal candidate will have extensive experience with AWS services, big data technologies, and programming languages such as Python, Scala, and SQL. You'll be working with various databases including MongoDB, Oracle, and MySQL, while implementing ETL processes and data warehousing solutions.
Rackspace Technology offers a collaborative environment where you can grow both professionally and personally. They're recognized as a best place to work by Fortune, Forbes, and Glassdoor, attracting world-class talent. The company values unique perspectives and embraces diversity, offering equal employment opportunities to all candidates.
This remote position offers the opportunity to work with cutting-edge technology while helping solve customers' complex problems. You'll be part of a winning team on an inspiring mission, contributing to the company's goal of embracing technology and delivering the future of cloud solutions.
Responsibilities For AWS Data Engineer
- Build complex ETL code
- Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
- Work on Data and Analytics Tools in the Cloud
- Develop code using Python, Scala, R languages
- Work with technologies such as Spark, Hadoop, Kafka
- Build complex Data Engineering workflows
- Create complex data solutions and build data pipelines
- Establish credibility and build impactful relationships with customers
- Capture and share industry best practices
- Attend and present valuable information at Industry Events
Requirements For AWS Data Engineer
- Bachelor's degree in computer science, Information Technology, or 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 & experience of working on Databricks
- Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark)
- Experience with programming languages such as SQL, Python, or Scala
- Presentation skills with executives, IT management, and developers
- Excellent communication skills
- Demonstrated ability to adapt to modern technologies and learn quickly
- AWS Certification preferred (Data Engineer Associate, Solutions Architect Associate)
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