Senior Data Engineer
L'Oréal Groupe (company site, opens in a new tab)7+ yrsHyderabadRemoteDirect career pageEst. 18–32 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of scalable data and software solutions on L’Oréal’s Beauty Tech Data Platform with focus on technical excellence and innovation.
- Design and implement large-scale data architectures on GCP, managing integrations with key advertising platforms (Meta, Google Ads, Amazon Ads APIs).
- Mentor and lead data engineering teams, reviewing code, guiding technical decisions, and facilitating onboarding and ongoing training.
Minimum Requirements
- 7+ years of full-stack development experience with high-volume data ingestion via third-party APIs.
- Minimum 2 years of senior developer experience with mentoring and architectural decision responsibilities.
- Strong expertise in Google Cloud Platform, REST APIs, SQL, noSQL databases, Git, CI/CD, Terraform, and automated testing.
- Experience specifically with marketing/ad tech stacks and managing large-scale data pipelines; Work Experience Required: Explicitly stated as 7+ years, seniority of minimum 2 years in leadership roles.
Ideal Candidate Profile
- Technical leader able to translate complex marketing business needs into scalable API-driven data architectures supporting KPIs.
- Experienced in Agile environments with capabilities in risk management related to API limits and data privacy compliance.
- Demonstrated ability to support product technical vision and manage cross-functional collaboration, especially between marketing and data teams.