TELECOMMUTE Lead Data Engineer

Tech Rakers
United States
12 days 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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