Hybrid AWS Data Engineer – Terraform

at Minor Hotels Europe and Americas

• Job title: AWS Data Engineer – Terraform
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $103,330 - $128,656 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Cloud, DynamoDB, ETL, Jenkins, PySpark, Python, SQL, Terraform
• Location requirements: Hybrid, Fort Mill, United States

About the role

• AWS Data Engineer designing and deploying infrastructure using Terraform for a modern Data Lakehouse. Driving ETL processes, data ingestion, and analytics using AWS technologies.

Responsibilities

• Design, develop, and deploy AWS infrastructure using Terraform, including S3, Glue, IAM, Lake Formation, and Athena resources
• Develop and maintain AWS Glue ETL jobs (PySpark or Python shell) for data ingestion, transformation, and curation across raw → clean → curated layers
• Integrate Airflow (Amazon MWAA or self-managed) for orchestrating Glue jobs, data pipelines, and dependencies
• Build and maintain Glue Catalog, manage metadata, and align with Lake Formation security policies
• Write complex SQL queries for data validation, transformation, and reporting logic, ensuring efficient query performance
• Manage Terraform state files, backend setup (S3 + DynamoDB), and environment-based deployments
• Implement data ingestion frameworks for batch and near real-time pipelines
• Collaborate with Snowflake and BI teams for seamless data consumption
• Contribute to high availability (multi-AZ) and disaster recovery (multi-region) strategies for core data components

Requirements

• 6 years of experience as a Data Engineer or Cloud Engineer
• Strong expertise in AWS Services: S3, Glue, Glue Catalog, Lake Formation, IAM, Athena, CloudWatch, Lambda (preferred)
• Hands-on proficiency in Terraform (HCL) for infrastructure automation
• Experience with Airflow DAGs for orchestration of Glue, S3, and external data flows
• Solid understanding of PySpark / Python for ETL scripting
• Strong ability to write and optimize complex SQL (joins, window functions, CTEs, and analytical queries)
• Familiarity with data lake formats (Iceberg, Parquet, Delta, etc.)
• Experience with CI/CD pipelines (GitHub Actions, CodePipeline, or Jenkins)

Benefits

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching, and learning programs
• Employee Resource Groups