Description

You will build and maintain data pipelines and cloud-based data lake solutions.

Responsibilities

• Engineer cloud-based data lake solutions to connect and leverage organizational and external data.
• Capture, process, and store large volumes of data for data science use cases.
• Support and evolve existing ETL and data pipeline solutions.
• Contribute to technical documentation for solution deployment and administration.
• Diagnose and fix issues within complex technical environments.

Required Skills

• 5+ years of experience building and managing scalable data pipelines.
• Proficiency in Python and SQL.
• Experience with ETL and ELT processes.
• Hands-on experience working in AWS environments.
• Knowledge of data distribution and data archiving solutions.
• Experience working within an SDLC and Agile methodologies.
• Any Graduate degree.

Key Skills

Education

Any Graduate