[Hiring] Senior AWS Data Engineer @QTech

Role Description

Senior AWS Data Engineer

Location: Remote

Duration: Long Term Contract

Looking for W2 Candidates. No C2C

Qualifications

• PySpark ramp-up
• Glue job hands-on proof
• Dimensional modeling

Requirements

• Develop and maintain PySpark-based ETL pipelines for batch and incremental data processing
• Build and operate AWS Glue Spark jobs (batch and event-driven), including:
  • Job configuration, scaling, retries, and cost optimization
  • Glue Catalog and schema management
• Design and maintain event-driven data workflows triggered by S3, EventBridge, or streaming sources
• Load and transform data into Amazon Redshift, optimizing for:
  • Distribution and sort keys
  • Incremental loads and upserts
  • Query performance and concurrency
• Design and implement dimensional data models (star/snowflake schemas), including:
  • Fact and dimension tables
  • Slowly Changing Dimensions (SCDs)
  • Grain definition and data quality controls
• Collaborate with analytics and reporting teams to ensure the warehouse is BI-ready
• Monitor, troubleshoot, and optimize data pipelines for reliability and performance

Company Description