Azure Data Engineer: INTL
Role details
Job location
Tech stack
Job description
A fortune 100 client is seeking a highly skilled and experienced Senior Data Engineer to support an enterprise-level migration of the metadata layer from Presto to Unity Catalog within the Databricks Lakehouse Platform. This role requires deep expertise in Databricks, Spark, and modern data architecture, with a strong focus on data governance, performance optimization, and scalable pipeline development. The two additional data engineers will join the client's 2 current team members and will work on an individual basis to complete the migration effort.
Requirements
-
8+ years experience as a Data Engineer with a minimum 5 years of experiences in Azure tool stack (Databricks, ADF, Synapse Analytics)
-
Strong expertise in writing complex SQL and transformations
-
Ability to write, review and examine code written in Python and PySpark
-
Proficient in Devops CICD
-
Expertise in RDBMS
-
Fundamental knowledge of Data Warehousing concepts
-
SQL and SQL tuning within Data Lake (Delta Format) * Azure services: azure functions, event grid
-
Tableau & PowerBI
-
Prior PepsiCo experience
-
Databricks certification
-
Local to HYD