Description

You will build and maintain large-scale data pipelines using modern data engineering practices.

Responsibilities

• Implement Medallion Architecture (Bronze/Silver/Gold) and manage data versioning and schema enforcement.
• Develop data transformations and workflow logic using SQL, Python, or Scala.
• Integrate enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Manage data governance, lineage tracking, and metadata requirements.

Required Skills

• 5+ years of hands-on experience with Databricks, Delta Lake, and Apache Spark.
• Strong proficiency in SQL, Python, or Scala for data processing.
• Proven experience integrating enterprise systems into data platforms.
• Experience implementing Medallion Architecture patterns.
• Familiarity with data governance and lineage tracking tools.
• Experience with AWS.

Preferred Skills

• Experience with Databricks Unity Catalog.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Key Skills

Education

Any Graduate