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Senior Data Engineer leads a team to migrate legacy data platforms to Google Cloud, ensuring integrity and mentoring junior engineers while managing cross-functional collaboration.
Senior Data Analyst at Hopper builds data pipelines and analyzes lodging data to optimize revenue and strategy using SQL and visualization tools.
Build and maintain scalable data pipelines for mobility and fintech clients, integrating systems to deliver analytics-ready datasets.
Build and maintain an ETL framework for financial data using Python, Apache Spark, and Azure Databricks in a 2-3 year project.
Design, implement, and manage cryptographic key management services and encryption technologies to secure data in transit and at rest using HSMs and enterprise key management systems.
Builds and scales data pipelines and platforms using Azure Data Factory and Databricks in Agile teams.
Designs cloud-based data pipelines and AI solutions for clients, leads projects, and mentors junior consultants while managing stakeholder relationships.
Build and maintain secure, high-quality data pipelines and infrastructure, ensuring data integrity and compliance for a product-focused team.
Builds and maintains Vektis’s data foundation using Denodo for virtualization and Power BI for insights, turning billions of Dutch healthcare records into reliable, accessible data products.
Leads SAP data transformation from UNV to UNX, optimizing HR analytics pipelines and integrating SAP BW/BO systems for business reporting.
Builds and migrates data pipelines to Microsoft Fabric, integrating diverse sources into an AI-ready data lake while experimenting with new techniques.
Builds healthcare data pipelines and dashboards using Denodo and Power BI to deliver reliable, fast access to care data for analytics and reporting.
Architect and build scalable data pipelines for AI model training using Python and Spark in a high-impact contract role.
Build and maintain scalable, secure data pipelines and infrastructure at a global logistics platform, collaborating with cross-functional teams.
Design and maintain a scalable data platform on Microsoft Fabric, building secure ETL/ELT pipelines with PySpark and Python for analytics and governance.
Build and scale secure, efficient data platforms in Azure using Databricks and Kubernetes, design medallion architectures, and implement PySpark/SQL pipelines for government AI initiatives.
Sambatv is looking for an experienced data engineer to design and build reliable data pipelines, ensuring the ingestion, transformation, and distribution of large-scale datasets. This role involves working with cloud…
Lead the design and automation of data-security controls, embedding checks into CI/CD and securing AI pipelines against threats while ensuring GDPR compliance.
Leads a small team to build and maintain a reliable, scalable data platform for a healthcare company, improving data quality and integrations.
Builds AI-driven marketing prototypes and MVPs using Python, React/TypeScript, Docker, and AWS, collaborating with data scientists to validate solutions.
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