Dexian

AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AWS Data Engineer" with a contract length of 6-12 months, based in "Fort Mill, SC" (Hybrid). Requires 15+ years in IT, 8+ in Data Warehouse, 5+ with Snowflake/AWS, and advanced SQL skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
January 30, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Fort Mill, SC
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🧠 - Skills detailed
#Oracle #Data Modeling #Microsoft SQL Server #Computer Science #SQL Server #Microsoft SQL #Alation #Requirements Gathering #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Physical Data Model #SQL (Structured Query Language) #Airflow #Data Engineering #dbt (data build tool) #Data Warehouse #Migration #Databases #Deployment #EDW (Enterprise Data Warehouse) #Cloud #AWS (Amazon Web Services) #Data Governance #S3 (Amazon Simple Storage Service) #MS SQL (Microsoft SQL Server) #Snowflake #Scala
Role description
DETAILS: Domain: Financial Position: AWS Data Engineer Duration: 6 - 12 Months (Contract to Hire) Location: Fort Mill, SC (Hybrid – 3 days/Week Onsite) Responsibilities: β€’ Lead the design, development, enhancement, and cloud migration of the enterprise Data Warehouse, ensuring alignment with business goals and data governance. β€’ Manage full lifecycle delivery from requirements gathering to production deployment across on-premise and cloud platforms (Snowflake, AWS). β€’ Architect scalable cloud data solutions using Snowflake, DBT, and AWS-native services (S3, Lambda, Glue, Airflow). β€’ Implement ELT/ETL pipelines using tools like DBT. β€’ Lead, coach, and mentor onshore and offshore development teams to deliver high-quality software solutions. β€’ Act as a technical escalation point, resolving issues and proposing alternative solutions to ensure system reliability and performance. β€’ Serve as the subject matter expert in database application delivery and optimization, with deep expertise in Oracle and Microsoft SQL Server. β€’ Oversee release management and post-production support to ensure smooth transitions and minimal business disruption. β€’ Lead application migration efforts to cloud-based architectures and support remediation of existing implementations accessing data warehouses and lakes. Requirements: β€’ 15+ years of experience in IT, with 8+ years in Data Warehouse development and support. β€’ 5+ years of experience working with Snowflake, AWS services, and modern ELT tools. β€’ Proven experience in conceptual, logical, and physical data modeling. β€’ Advanced SQL skills, including 6+ years of experience with enterprise databases. β€’ Bachelor’s degree in computer science or related field.