TELECOMMUTE Lead Data Engineer
Tech Rakers
United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Audit Trail
Cloud Database
Code Review
Data Architecture
Data Governance
Data Transformation
Data Sharing
Data Warehousing
+10 more
Identity and Access Management
Python (Programming Language)
Object-Oriented Software Development
Systems Development Life Cycle
Role-Based Access Control
Data Processing
Snowflake
AWS ECS
Functional Programming
Cloudwatch
Job description
- Hands-on experience deploying, managing, and scaling containerized data workloads using AWS ECS (Elastic Container Service) and ECR.
- Core AWS architecture: S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail.
- AWS Certification is a strong plus.
Snowflake:
- Account administration, optimal virtual warehouse clustering strategies, and budget-optimization.
- Expert feature implementation: Data Sharing, Time Travel, and Zero-copy cloning.
Advanced Python Development:
- Advanced Python Development: Writing clean, object-oriented, and production-grade Python code for complex data manipulation, automation, and API communication.
Requirements
High level data engineer with 10+ years of experience:
- Data Architecture & Enterprise Modeling: Advanced data warehousing concepts, cloud data lakes, and structured multi-layer designs (Bronze, Silver, Gold).
- Advanced Data Transformations: Designing complex operational pipelines, data cleanup, and robust standardization strategies.
- Production SDLC & Workflow Best Practices: Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks.
- Data Governance & Security: Implementing enterprise-level role-based access controls (RBAC), data compliance, and secure environments.
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