Rackspace
San Antonio, TX
5,001-10,000 employees
Unlock the leading technologies to grow new revenue streams, increase efficiency, and build the future.
Prior Listings
- Big Data Engineer
- Data Scientist
- Data Architect - Tableau
- Data Science Architect
- Big Data Engineer
- Data Engineer, Azure
- Tableau Data Architect
- Data Engineer
- Data Engineer - Tableau
- Practice Manager - Data Science & Engineering
- Senior Data Scientist - CAN
- Data Engineer III
- Data Engineer - IN (GCP)
- Cloud Data Engineer
- DATA SCIENCE - TRAINEE
- Business Operations Analyst III
- Sr. Data Engineer
- Cloud Data Engineer
- Big Data Engineer (AWS)
- Data Engineer III 8272
AWS Data Engineering Specialist
AWS Data Engineering Specialist
This job is no longer open
Description:
We are looking for a Data Engineer who is adept at building and maintaining data engineering frameworks such as DBT, SQLMesh, and Coalesce within AWS EMR/Glue environments. This role involves hands-on development and optimization of data pipelines, ensuring they are efficient and aligned with the bank's data strategy.
Key Responsibilities:
· Experience with AWS data services, including AWS EMR, Glue, S3, Redshift, and other related technologies.
· Proven experience in building advanced data engineering frameworks on AWS EMR/Glue, Apache Spark and other AWS Data services technology.
· Strong understanding of writing efficient, reliable, and maintainable code to manage data workflows.
· Solid foundation in software engineering, including Object-Oriented Design (OOD) and design patterns.
· Optimize data processing pipelines for performance and scalability.
· Collaborate with data architects to implement best practices and improve data framework capabilities.
· Assist in resolving technical challenges and provide support to the data engineering team.
Minimum Qualifications:
· Bachelor’s degree in Computer Science, Engineering, or a related technical field.
· 3+ years of hands-on experience with AWS services, specifically EMR and Glue.
· Proficiency in building data engineering frameworks like DBT, SQLMesh, or Coalesce.
· Solid understanding of SQL, data modeling, and ETL processes. Preferred Qualifications:
· Experience with version control systems and CI/CD pipelines.
· Familiarity with additional AWS services and data analytics tools.
This job is no longer open