Description
ShyftLabs is hiring a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines on the Databricks Lakehouse Platform. The role involves integrating data from databases, Amazon S3, files, and REST APIs; building Unity Catalog and Delta Lake solutions; creating and optimizing Databricks jobs and Spark workloads; implementing data transformations and models; and ensuring data quality and performance. The posting lists Python, PySpark, SQL, Databricks, AWS, and REST API integration as core qualifications, with a preferred profile including 9+ years of data engineering experience, 3+ years with Databricks, and prior lead or technical lead experience.
