Description

You will design and maintain modern data architectures and efficient data pipelines.

Responsibilities

• Build and maintain scalable data architectures.
• Design efficient data pipelines to ensure data quality and integrity.
• Scale data platform solutions to meet growing demands.
• Drive data engineering projects from initiation through completion.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Experience with PySpark for large-scale data processing.
• Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.
• Working knowledge of Hadoop and Hive.
• Experience managing and processing large data sets.
• Background in object-oriented programming.

Preferred Skills

• Experience with data modernization tools.
• Strong communication and leadership experience.

Key Skills

Education

Any Graduate