Remote AWS Data Engineer

Summary

Join Rackspace Technology as a Big Data Engineer and work directly with customers to enable innovation through continuous deployment across technology stacks.

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

Responsibilities

• 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, etc
• Build complex Data Engineering workflows
• Create complex data solutions and build data pipelines
• Establish credibility and build impactful relationships with our customers to enable them to be cloud advocates
• Capture and share industry best practices amongst the community
• Attend and present valuable information at Industry Events

Preferred Qualifications

Certification in AWS (e.g., AWS Data Engineer Associate, AWS Solutions Architect Associate) is preferred