Remote Aws Data Engineer
Rackspace Technology
Job highlights
Summary
Join Rackspace Technology as a Big Data Engineer and leverage your expertise in building and deploying data solutions on AWS. You will collaborate with customers and the team to drive innovation through hands-on work across various technology stacks. This role demands proficiency in building data pipelines, developing data engineering code, and crafting complex data queries and algorithms. You will work with cutting-edge technologies like Spark, Hadoop, and Kafka, while establishing strong customer relationships. The ideal candidate possesses a strong technical background, excellent communication skills, and a passion for solving complex business problems. Rackspace offers a challenging and rewarding environment committed to professional and personal growth.
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)
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