Description

• Develop and maintain scalable Python scripts and applications to support customer data platform operations
• Utilize Python to automate data processing workflows and enhance data quality
• Apply ETL concepts to design and implement data extraction transformation and loading processes
• Use ANSISQL to query and manipulate large datasets within the customer data platform environment
• Collaborate with cross functional teams to integrate customer data from diverse sources ensuring consistency and accuracy
• Analyze complex datasets to support business insights and strategic decision making
• Stay updated with the latest trends and best practices in Python programming and customer data management

Roles and Responsibilities 

• Lead the development and optimization of ETL pipelines leveraging Python and SQL
• Design data models and schemas to support efficient data storage and retrieval within the customer data platform
• Troubleshoot and resolve data related issues ensuring minimal downtime and maintaining data integrity
• Mentor junior team members on Python programming ETL concepts and best practices
• Coordinate with stakeholders to gather requirements and translate them into technical solutions
• Ensure compliance with data governance and security policies
• Drive continuous improvement initiatives to enhance data processing efficiency and platform scalability

Key Skills

Education

Bachelor's degree