Sr Specialist, Data Engineering

Relocation Assistance Offered Within Country Job Number #173839 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Role Summary :  We are seeking a passionate and detail-oriented Data Engineer to join our Digital Tech & Data team. In this role, you will be responsible for building and maintaining the data pipelines that support our digital ecosystem — from ingesting raw data across multiple digital touchpoints to delivering clean, robust  data that business teams can trust and act on. You will bring engineering rigour to data — treating pipelines, models, and infrastructure as production-grade software — while staying closely connected to the digital business context your work enables. Responsibilities : Design, build, and maintain production-grade data pipelines in Airflow that ingest data from digital touchpoints into Snowflake. Develop modular, tested, and well-documented dbt models that transform raw data into reliable, business-ready datasets — owning the full lifecycle from source definition to exposure. Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform, with everything version-controlled and peer-reviewed. Implement and uphold data quality, observability, and testing standards across pipelines Tune Snowflake performance and manage warehouse cost — clustering, query profiling, resource monitors and treat cost as a first-class engineering concern. Operate the on-call and incident response cycle for owned pipelines: triage failures, perform root-cause analysis, write post-mortems, and convert recurring issues into permanent fixes. Implement pipelines to platform standards — branching strategy, CI/CD for dbt and Airflow, code review norms, documentation, naming conventions  Stay current on the evolving data engineering stack (agentic tooling, streaming patterns, observability frameworks) and bring grounded recommendations on what to adopt and what to skip. Required Qualifications : Education:   Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative discipline. A Master's degree in a relevant field is an advantage but not required. Equivalent practical experience or demonstrable self-taught expertise will be considered in lieu of formal qualifications.…