Description

You will architect complex data systems and pipelines while leading and mentoring junior engineers.

Responsibilities

• Architect and design complex data systems and pipelines.
• Lead and mentor junior data engineers and team members.
• Collaborate with cross-functional teams to define data requirements.
• Implement advanced data quality checks to ensure data integrity.
• Optimize data processes for efficiency and scalability.

Required Skills

• 12+ years of experience in data engineering.
• Proficiency in PySpark, Python, and SQL.
• Expertise in data modeling and database design for optimal performance.
• Extensive experience with ETL (Extract, Transform, Load) processes.
• Deep working knowledge of Databricks and the Azure cloud platform.
• Experience with data warehousing and database management.
• Proficiency with Git version control.
• Knowledge of data governance, security, and compliance principles.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate