Description

You will design and implement data integration, ETL processes, and scalable data warehouse architectures within a cloud environment.

This role is on-site.

Responsibilities

• Design and implement data integration and ETL processes using Azure Data Factory.
• Develop data pipelines using Spark and Databricks.
• Apply data warehouse and data lake architectures to support scalable data storage.
• Solve complex analytical problems using computer science fundamentals and distributed computing principles.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in SQL and Python.
• Experience with Databricks and Spark.
• Familiarity with Java or Scala.
• Experience with cloud platforms, specifically Azure.
• Strong understanding of algorithms, data structures, and computational complexity.

Preferred Skills

• Experience with big data technologies including Kafka, Hadoop, or Hive.
• Experience with data visualization and reporting tools such as Tableau.

Key Skills

Education

Bachelor’s degree in Computer Science