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Data Engineer / Data Modeler

seniorremote~$6K /moСкор undefined/100сегодня
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
awsdatabricksdelta lakeec2s3sparksqlvisio
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Описание
🚀 VACANCY: Data Engineer / Data Modeler 📍 100% Remote Company: NDA 💵 $6,000 – $8,000 gross 🚫 No candidates from: Ukraine / Russia / Belarus We are looking for a Senior Data Engineer/Modeler to join a major European player in Mobility & Convenience. You'll bridge the gap between business stakeholders in Europe and the Data Engineering team in Pune, India, working with high-volume UDP streaming data. Key Responsibilities: Business Engagement – Act as the primary data liaison for the "Mobility and Convenience Europe" division. Translate business goals into technical requirements and logical data models. UDP Data Architecture – Deeply understand inbound UDP streams. Define transformation, validation, and routing logic for ingestion into the core Data Warehouse. Data Modeling – Design and maintain conceptual, logical, and physical data models optimized for performance and scalability with streaming data. Work Package Definition – Break down business requirements into clear, structured tasks (specifications, mapping docs, transformation logic) for the Pune-based engineering team. Technical Leadership – Serve as the technical point of contact for the Pune team. Review code and implementations to ensure alignment with defined models. Data Governance – Ensure compliance with European data privacy and governance standards (GDPR). Tech Stack: ☁️ AWS (S3, Kinesis, IAM, EC2) + ☄️ Databricks (Delta Lake, Spark SQL, Unity Catalog) Requirements: 5+ years of commercial Data Engineering experience. Deep understanding of UDP streaming data architecture. Strong Data Modeling skills (dimensional modeling, normalization/denormalization). Hands-on experience with AWS + Databricks in production. English B2+ – fluent communication with European business and Indian teams. Experience writing clear technical documentation for distributed teams. ✉️ [handle] #DataEngineer #DataModeler #DataArchitect #BigData #Databricks #AWS #Kinesis
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