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Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding large-scale data transformations for regulated industries.
Lead enterprise data security programs, implementing DLP and cloud security controls across Microsoft 365, Azure, and AI platforms to protect sensitive client data and ensure compliance.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Design and build scalable data pipelines and lakehouse architectures using Microsoft Fabric, Azure Databricks, and Spark to enable robust analytics and reporting for a global packaging leader.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure reliable data flows for analytics.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for enterprise clients.
Builds and maintains full-stack .NET and React apps, deploys cloud-native services on Azure Kubernetes, and uses AI tools to accelerate development in a regulated fintech environment.
Senior full-stack engineer building ASP.NET Core web apps and RESTful APIs for real-time sports/event platforms using C#, Entity Framework Core, and SQL Server.
Designs and builds scalable data pipelines and warehouses using Databricks and Azure, ensuring clean, reliable data for analytics and AI across food, beverage and pharma sectors.
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Build and maintain scalable data pipelines and lakehouse architectures to power analytics and AI products using SQL, dbt, and cloud platforms like Databricks or AWS.
Design, deploy, and manage HashiCorp Nomad clusters, configure Consul for service discovery, and implement secure secret management with Vault.
Build and secure Azure-based CI/CD pipelines for automotive CMS workloads, integrating DevSecOps practices to automate deployments and ensure compliance across global regions.
Designs, builds, and optimizes BI solutions in modern environments, translating business questions into data-driven insights using SQL and Data Vault modeling.
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 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.
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.
Designs and maintains scalable data pipelines and cloud-based data infrastructure (Azure, AWS, Snowflake) to transform raw data into actionable insights for analytics and AI use cases.
Build and maintain scalable data pipelines and cloud-based data infrastructure for clients, transforming raw data into insights using Azure, AWS, Snowflake, and Python.
Senior Data Engineer builds and optimizes scalable Azure/Databricks data and ML pipelines for finance and public-sector clients, using PySpark, MLflow, dbt and CI/CD.
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