Data Engineer

at  ColgatePalmolive

WHO WE ARE

Colgate-Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom’s of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Pet Nutrition.
We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children’s oral health.
If you want to work for a company that lives by their values, then give your career a reason to smile and join our global team!

REQUIRED QUALIFICATIONS/EXPERIENCE:

• Bachelor’s Degree in a quantitative field

• At least 5 years of professional experience as a data engineer or data analyst

• Demonstrated proficiency in the use of SQL and Python to wrangle, clean, and integrate data from a variety of sources
• Demonstrated understanding of modern data warehouse design principles and data engineering best practices
• Previous experience in building ETL pipelines
• An astute individual, with the ability to build strong cross-functional relationships.
• Excited at the prospect of developing and implementing new tools and processes that add organizational value & improve decision making capabilities
• A bright, ambitious person, with strategic capabilities, able to lead change, influence and collaborate both internally and externally, and with a clear commitment to delivering business results in a timely manner.

PREFERRED QUALIFICATIONS/EXPERIENCE:

• Master’s Degree in a quantitative field
• Professional experience in developing data engineering pipelines for high-volume data.
• Demonstrated experience with Airflow, dbt, Terraform and Git
• Familiarity with CI/CD and containerisation technologies like Docker and Kubernetes
• Experience working on Cloud data warehouses like Snowflake
• Experience managing small to medium analytics projects would be an advantage
• Experience coaching/mentoring junior team member would be an advantage

Please refer the Job description for details