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Leads a team to design and implement data security controls (DLP, encryption, classification) across cloud, SaaS, and on-premises systems, ensuring compliance and protecting sensitive data in a fast-growing e-commerce company.
Leads a team to design and implement data security controls (DLP, encryption, zero trust) across cloud, SaaS, and on-premises systems for a large e-commerce company.
Read this first — two non-negotiables Go is the job, not a bonus skill. We're only considering candidates with 5+ years of hands-on, production experience in Go . If Go isn't (one of) your primary languages,…
The Security Platform Engineer manages and optimizes security telemetry and analytics platforms, specifically Google SecOps and BindPlane. This role involves maintaining data ingestion pipelines, ensuring platform stability, and collaborating with security teams to support incident response and detection engineering.
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. Minimum qualifications: Bachelor's degree in Engineering, Computer…
Own the product roadmap for Google’s global data ingestion platform, defining schema models and overseeing ETL pipelines that power the Data Commons Knowledge Graph.
The Software Engineer, Ad Serving will act as a technical problem-solver for advertising products, diagnosing delivery and performance issues using SQL, Python, and log analysis. The role involves collaborating with product and data science teams to improve bidding strategies and building internal tools to streamline troubleshooting.
The Full Stack Data Scientist will build, deploy, and maintain predictive models for customer lifetime value and marketing incrementality at Pet Circle. This role involves partnering with marketing teams to translate complex data into actionable business decisions using Python, SQL, and cloud-based data platforms.
Design and deliver enterprise-scale GCP data platforms using BigQuery, dbt and Airflow, focusing on scalable ELT pipelines and modern data architecture.
Builds scalable data pipelines and high-performance datasets on a modern GCP platform to support analytics, reporting, and future AI initiatives using SQL, Python, and dbt.
Strong hands-on Python engineering skills, including production-grade code, modular design, testing, packaging, and modern tooling (uv/poetry, pydantic, FastAPI, async patterns) Practical AI engineering experience -…
Interpret data and analyze results using advanced query techniques and statistical methods to uncover actionable insights. Create robust, reusable data querying, transformation, and visualization processes using tools…
Data die het verschil maakt Data is pas waardevol als een organisatie erop kan bouwen. Als Senior Data Engineer bij LINKIT zorg jij daarvoor: je ontwerpt platformen die schaalbaar, betrouwbaar en toekomstbestendig…
Staff-level IC building AI-powered analytics tools—RAG pipelines, LLM-assisted querying, AI agents, and applied ML models—using Python and SQL to automate analytics workflows at Pure Storage's Bangalore office.
The Senior Customer Analyst leads end-to-end customer analytics projects, including loyalty modeling, campaign measurement, and personalisation strategy. The role involves building scalable data workflows using SQL, DBT, Python/R, and Google BigQuery to provide actionable insights for retail and online stakeholders.
SQUARE ONE RESOURCES poszukuje kandydatów na stanowisko Senior Data Engineer | Data Harmonization & BigQuery w kategorii Backend/Big Data / Data Science, w Warszawa. To świetna propozycja dla osób z doświadczeniem…
Leads end-to-end customer analytics projects, designing test-and-learn frameworks, measuring campaign lift, and building scalable workflows on Google Cloud to drive loyalty and personalization strategies.
Partagez une aventure humaine au cœur de l’équipe hermes.com Hermès offre aujourd’hui une plateforme e-commerce dans 36 sites et propose ainsi à ses clients un parcours de vente omnicanal. Pilotée de manière agile,…
Design and lead AI-driven platforms, selecting frameworks like PyTorch and deploying models via MLOps pipelines to solve business challenges at scale.
Lead a team to design and build P&G’s global Consumer Data Platform on Google Cloud, including pipelines, warehousing, governance, and dashboards to unlock consumer insights while protecting privacy.
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