Related skills
terraform cloudformation aws sql python📋 Description
- Design, develop, and maintain data pipelines and datastores for analytics.
- Lead and support large-scale database migrations (on-prem to cloud).
- Monitor, analyze, and optimize performance and stability of data services.
- Ensure data integrity, quality, and compliance across pipelines.
- Collaborate across engineering, analytics, and technology teams.
- Design and implement enterprise-scale data solutions with long-term impact.
🎯 Requirements
- 5+ years of experience in DevOps or DataOps roles with a strong focus on AWS.
- Hands-on with AWS services: EMR, Redshift, RDS, Glue, Lambda, Kinesis, Step Functions, EventBridge, SNS/SQS, KMS, CloudWatch.
- Strong proficiency in Python and SQL.
- Experience with relational, NoSQL, and columnar databases.
- Experience implementing Infrastructure as Code using Terraform or CloudFormation.
- Experience designing and maintaining CI/CD pipelines.
🎁 Benefits
- Salary in USD
- Flexible schedule (within US Time zones)
- 100% Remote
- Work with modern AWS stack (EMR, Kinesis, Glue, etc.)
- High-impact role with ownership over key technical decisions
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