Data Engineer (AWS)

Skills:

• Proficiency in Spark, SQL, Python, and other relevant data processing technologies.
• Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.
• Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations.
• Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).

Soft Skills:

• Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.