Senior Specialist, Data Engineering - Colgate Palmolive

Key Responsibilities

• Design, develop, and maintain robust data pipelines using Python, SQL, and Apache Spark on AWS infrastructure.
• Implement ETL processes to ingest, transform, and load large datasets into data warehouses.
• Collaborate with data scientists and business analysts to understand data requirements and deliver actionable insights.
• Optimize pipeline performance, monitor data quality, and troubleshoot issues across the data lifecycle.
• Document architecture, code, and best practices for reproducibility and knowledge sharing.

Requirements

• 5+ years of experience in data engineering or related roles.
• Experience designing data models and building data warehouses.
• Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.