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Senior DevSecOps engineer builds and secures a GCP-based platform using GKE, BigQuery, Cloud Build and Cloud Run with automation-first practices.
[함께할 팀을 소개합니다 🙌] RevOps(Revenue Operations) 팀은 채널톡의 매출 성장을 구조적으로 설계하는 전략·운영 조직입니다. 단순히 데이터를 분석하거나 시스템을 관리하는 팀이 아니라, 세일즈·고객·제품 전반에 걸친 수익 흐름을 하나의 구조로 연결하고, 실제 의사결정과 현장 실행을 이끌어 매출 성장에 기여합니다. 이때 저희의 무기는 매출 성장 엔진입니다. 세일즈…
Credem, tra i gruppi bancari più solidi d'Italia, cerca un Salesforce Marketing Cloud Specialist per progettare ed evolvere i customer journey in un momento in cui i sistemi di marketing stanno migrando verso…
Design and maintain a modern cloud data lake on Google BigQuery, build scalable ETL pipelines in Python/SQL, and ensure clean data flows to Salesforce and marketing systems.
Lead a team of 8–15 engineers to design, build, and optimize cloud-based data pipelines and lakehouse architectures using Python, PySpark, Databricks, and cloud platforms like Azure/AWS/GCP.
Build and maintain cloud-native data pipelines and warehouses to feed AI-driven automotive analytics and marketing tools for U.S. dealerships.
Design and lead a cloud-based data architecture on GCP for regulatory reporting, using Java, Kafka, Spark/Flink, and BigQuery to build scalable event-driven and batch pipelines.
Build and maintain scalable data pipelines, ETL workflows, and serverless services on Google Cloud Platform using Python, BigQuery, Pub/Sub, and Cloud Run.
Build and maintain scalable data pipelines, cloud data warehouses, and real-time processing systems using Python, SQL, and cloud platforms to power analytics and business decisions.
Builds and maintains scalable GCP-based data pipelines and governance systems for an insurance company, using Python, SQL, and AI-assisted tools to automate metadata-driven workflows and improve enterprise data operations.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Build and deploy ML models (XGBoost, NLP, BERT, DNNs) to improve The Home Depot’s delivery experience, using Vertex AI pipelines and A/B testing.
Lead a data-science team building search and recommendation systems for The Home Depot’s online retail platform, using predictive/prescriptive modeling and tools like BigQuery, SQL, and Tableau.
Senior Analyst builds and troubleshoots ServiceNow reports and dashboards, trains users, and applies AI/GenAI to analytics and reporting automation for healthcare operations.
Build and maintain scalable data pipelines using dbt and Fivetran to transform and integrate enterprise data for analytics and reporting.
Build and maintain data pipelines, write SQL and XML scripts, and troubleshoot integrations for healthcare software, using tools like Databricks, SSIS, and Power BI.
Staff engineer building and scaling backend services for media hosting, monetization, and analytics using Python, Celery, PostgreSQL, Redis, and cloud tools on AWS/GCP.
Innovate in Charlotte Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!…
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
Senior Data Scientist builds and deploys ML and LLM-powered apps for healthcare clients, turning EHR, claims and clinical data into predictive models and AI workflows that improve patient outcomes and operations.
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