Description

You will build and maintain data engineering pipelines using Databricks.

Responsibilities

• Process structured, unstructured, and semi-structured data.
• Develop and manage data pipelines for analytics, covering both batch and streaming data.
• Apply knowledge of financial services cybersecurity and fraud data domains.
• Implement solutions using Databricks Unity Catalog and Delta Lake/Delta tables.

Required Skills

• 7+ years of experience in data engineering pipelines for analytics.
• 3+ years of experience with Databricks data engineering (Databricks Data Engineer Professional).
• High proficiency in Python and SQL.
• Experience with PySpark and Spark SQL.
• Working knowledge of Delta Lake and Delta Tables.
• Familiarity with Databricks.

Preferred Skills

Key Skills

Education

Any Gradute