Description

You will build and maintain data infrastructure using Databricks.

Responsibilities

• Administer and maintain Databricks workspaces, clusters, and configurations.
• Design and implement data pipelines in Databricks for new data sources, focusing on reliability and performance.
• Develop and enforce Attribute-Based Access Control (ABAC) policies for secure data access.
• Write efficient, maintainable PySpark code for data processing and automation.
• Collaborate with architecture and analytics teams to align data engineering solutions with enterprise standards.

Required Skills

• 5+ years of professional experience in Data Engineering.
• Expertise in Databricks.
• Proficiency in PySpark.
• Strong command of SQL.
• Experience building Data Pipelines.
• Familiarity with Delta Lake and Data Lake concepts.
• Knowledge of Cloud Data Engineering principles.
• Understanding of ABAC and Data Governance.

Key Skills

Education

Any Gradute