Description

Key Responsibilities

Data Pipeline Development

Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and AWS.

Build and support Bronze, Silver, and Gold layer data pipelines.

Develop reusable ingestion and transformation frameworks.

Implement incremental processing using CDC, checkpoints, and watermarking techniques.

6+ years of Data Engineering experience.

3+ years of Databricks experience.

3+ years of AWS Data Platform experience.

Experience supporting enterprise-scale analytics or Data Product initiatives

Key Skills

Education

Bachelor's degree