Data Engineer with Data Bricks - UTG2406

Required Skills

Experience with ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes

Experience in AWS cloud platforms

Experience and certified as AWS admin

Experience with Python or SQL

Experience with Delta Lake

Experience in Dataiku

Understanding of DevOps principles and practices

About the role

Design, develop, and optimize data workflows and notebooks using Databricks to ingest, transform, and load data from various sources into the data lake.

Build and maintain scalable and efficient data processing workflows using Spark (PySpark or Spark SQL) by following coding standards and best practices.

Develop data models and schemas to support reporting and analytics needs.

Ensure data quality, integrity, and security by implementing appropriate checks and controls.

Monitor and optimize data processing performance, identifying, and resolving bottlenecks.

Stay up to date with the latest advancements in data engineering and Databricks technologies.