We are looking for an Enterprise Data Engineer & Architect w/ AWS to contribute to a major Enterprise Data Optimization initiative, focusing equally on engineering and architecture.
Requirements
- 10+ years of experience in enterprise data engineering and architecture.
- Extensive hands-on experience with AWS services, including S3, Redshift, Aurora Postgres, Glue, Lambda, Step Functions, Lake Formation, and Kinesis.
- Proficiency in Python, SQL, Terraform, and Kubernetes, with the ability to independently implement and automate environments.
- Strong problem-solving skills, attention to detail, and the ability to work in both engineering and architectural capacities.
- Excellent communication and collaboration skills to engage with cross-functional teams.
- Experience in optimizing large-scale data systems for high performance and efficiency.
Benefits
- Competitive compensation with the possibility of conversion to full-time employment.
- Remote work with support for Central Standard Time hours.
- Opportunity to work on a high-impact, high-visibility data initiative.
- Access to cutting-edge technologies and professional development opportunities.
- Collaborative and innovative work environment with leadership exposure.
- Health, retirement, and other standard employee benefits (dependent on final employment terms).
