Description

You will design and implement big data architectures within a cloud environment.

This role is on-site.

Responsibilities

• Define and maintain big data architecture for large-scale environments.
• Build and manage data pipelines using Spark and Databricks.
• Handle data integration and dimensional modeling within lakehouse or warehouse architectures.
• Develop automation scripts for Linux environments.

Required Skills

• 10+ years of experience in data engineering.
• Expert-level SQL for large-scale data warehouse or lakehouse environments.
• Hands-on experience with Spark, Databricks, and Presto, Athena, or Trino.
• Proficiency in Python and Shell scripting in Linux.
• Experience with AWS services including EMR, Kafka, S3, and EC2.
• Strong knowledge of database and dimensional modeling.
• Bachelor's degree in Information Systems, Industrial Engineering, or Computer Science.

Key Skills

Education

Bachelor's degree