Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Databricks Unified Data Analytics Platform
Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark
Minimum 3 year(s) of
is required
15 years full time
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data
and deliver effective solutions that meet business needs.
Roles &
Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
-
is required.