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Relocation Assistance Offered Within Country Job Number #174908 - 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 valuesCaring, Inclusive, and Courageouswe foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Brief introduction - Role Summary/Purpose: You will empower our multi-functional teams by Creating advanced analytical solutions that drive data-centric decision making across the entire organization. Your primary focus will involve Developing and transforming datasets using the medallion architecture framework to meet diverse business needs. By Owning a modern tech stackincluding Snowflake, dbt, Python, and SQLyou will build sophisticated data structures while ensuring all deliverables are efficient, sustainable, and thoroughly documented. You will collaborate closely with various stakeholders to translate complex requirements into impactful, compliant analytics products. Responsibilities: 1. Analytics Development You will Collaborate with diverse partners to gather needs and produce compliant, sustainable analytics products. This includes Building insightful visualizations through tools like Sigma or Domo. By Developing consumption layers with Snowflake, dbt, Python, and SQL, you will provide the robust data structures necessary for sophisticated business reporting. You will ensure all data progression remains high-quality by Following the established medallion architecture framework. You will Leverage our core technology stack to deploy pipelines that align with enterprise-wide best practices and standards. 2. Process Optimization and Innovation Focus on Optimizing internal workflows by automating repetitive tasks and streamlining how analytics are delivered to the organization. You will be responsible for Evaluating modern and emerging technologies to keep our analytics engineering capabilities at the cutting edge. 3. Collaboration and Support You will Translate high-level business data strategies into actionable analytics execution through consistent stakeholder engagement. Support daily operations by Assisting with technical hurdles related to data access and reporting needs. By Cultivating strong relationships across technical and business units, you will work toward shared organizational objectives. 4. Governance and Standards Maintain high technical bars by Reviewing peer code and enforcing engineering best practices across all projects. You will Uphold rigorous compliance with all enterprise policies and data governance standards. Ensure long-term sustainability by Documenting and maintaining critical components within the data ecosystem. Required Qualifications : Education: Bachelors Degree in Computer Science, Information Technology, Engineering, or a related field. Experience: At least 2 years of professional experience as an Analytics Engineer, Data Engineer or related role. Business Collaboration: At least 2 years of experience in collaborating with business teams, understanding requirements, and translating them into analytics solutions. Technical Proficiency: Programming: Experience developing in Python and SQL. Proficiency in dbt (optional) Data Warehouses: Experience working with Snowflake (optional) Visualization: Experience developing visualizations in Sigma, Tableau, Domo or similar. Databases: Experience in interacting with and using databases & SQL. Version Control: Experience using Git, GitHub, or other version-controlled code management tools. Preferred Qualifications : Monitoring: Experience in application-status monitoring, usage of FinOps tools while modeling and executing analytics workloads. Automation: Familiarity with software-automation production systems (GitHub Actions, Selenium, etc.). Deployment: Familiarity with code deployment tools. Our Commitment to Inclusion Our journey begins with our peopledeveloping strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.