Description

You will lead the design, development, and maintenance of scalable data pipelines and ETL processes for enterprise solutions.

This role is on-site.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with cross-functional teams to define data requirements and deliver technical solutions.
• Ensure data integrity and flawless performance of data systems across multiple environments.
• Develop and implement data models and algorithms to optimize data processing.
• Monitor data system performance and troubleshoot complex production issues.

Required Skills

• 6+ years of industry experience, with 3+ years as a Data Engineer in Supply Chain.
• Proven experience as a Lead Data Engineer or in a similar leadership role.
• Proficiency in SQL and Python.
• Hands-on experience with Databricks.
• Expertise in Data Warehousing and ETL Processes.
• Experience with AWS, Azure, and Google Cloud.
• Skills in Data Integration and Data Quality.

Preferred Skills

• Experience in Supply Chain business.
• Data modeling and algorithms development.

Key Skills

Education

Any Graduate