Lead Data Engineer-SCM Integration & AWS Databricks

As a Lead Data Engineer-SCM Integration & AWS Databricks, you will be responsible for leading the design, development, and implementation of data engineering solutions that integrate with Supply Chain Management (SCM) systems. You will work closely with cross-functional teams to ensure seamless data flow and drive business outcomes. Your expertise in AWS Databricks will be crucial in architecting and implementing scalable data pipelines that meet the needs of the organization.

Key Responsibilities:

• Lead the design and development of data engineering solutions that integrate with SCM systems.
• Collaborate with cross-functional teams to ensure seamless data flow and drive business outcomes.
• Architect and implement scalable data pipelines using AWS Databricks.
• Develop and maintain data engineering best practices and standards.
• Provide technical guidance and mentorship to junior data engineers.

Requirements:

• 8+ years of experience in data engineering with a focus on SCM integration.
• Expertise in AWS Databricks and experience in architecting and implementing scalable data pipelines.
• Strong understanding of data engineering principles and best practices.
• Excellent communication and collaboration skills.
• Experience in leading cross-functional teams and driving business outcomes.