Why This Role Stands Out
This fully remote Lead Data Engineer role offers a fantastic opportunity to shape enterprise data architecture and implement cutting-edge solutions within a reputable tech company. You'll thrive here if you possess extensive experience in cloud data platforms, Python development, and robust data governance, bringing your advanced skills to a collaborative and forward-thinking team.
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
3 weeks ago
AWSSnowflakePython
Job Description
Lead Data Engineer
100% Remote W2 Position
Long Teem
Top 5 Skills:
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.
AWS:
- 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.
Excellent communication - they will be interacting with the customer and other internal employees
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