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Build and maintain the company’s semantic data layer, canonical models, and metric definitions to power self-serve analytics for Finance, Growth, and Operations.
Senior Data Engineer/ML Engineer designs, deploys, and maintains scalable ML models and MLOps pipelines for enterprise clients, using Python, SQL, Spark, and AWS.
Senior Data Engineer builds and maintains BI pipelines and reports to track portfolio performance and governance for a fintech company.
Design, deploy, and scale production ML models for enterprise clients, owning the data platform, MLOps practices, and model lifecycle governance.
Design and deploy production-grade Data, AI, and GenAI solutions for critical environments, focusing on industrialization and monitoring in multidisciplinary teams.
Design and build cloud-native data platforms for enterprise AI, integrating SAP, ERP, and manufacturing systems while implementing DataOps and MLOps practices.
Build and maintain scalable data pipelines in Scala on AWS, ensuring high throughput and data quality for a dynamic data platform team.
Senior Data Engineer builds enterprise dashboards and automated reports in Power BI to track IT investment portfolios, integrating data from PPM and financial systems for Michigan’s EPMO.
Senior Data Engineer builds and optimizes AWS-based data pipelines, ETL processes, and cloud data lakes to support large-scale analytics and migration in a remote role.
Build scalable real-time data pipelines and streaming architectures to power trading, risk, and asset management systems using time-series and lakehouse designs.
Design and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, and Spark, delivering clean datasets for analytics and ML in a cloud-native environment.
Lead the build and governance of Americana’s cloud data platform (Azure Synapse/Fabric), Power BI semantic layer, and AI-ready data foundation across 13 markets and 2,749+ restaurants.
Design and optimize scalable data platforms and pipelines using Python, PySpark, and Databricks to build Lakehouse architectures and cloud-native data lakes/warehouses.
Lead enterprise data engineering and analytics teams to design scalable data platforms using Azure, Databricks, and Power BI for executive reporting and digital transformation.
Designs and optimizes scalable data platforms using Python, PySpark, Databricks, AWS, and SQL to build batch/real-time pipelines and lakehouse solutions.
Design and build data pipelines, warehouses, and analytics solutions for Emirates Group using Azure, Spark, Kafka, and SQL to support airline operations and reporting.
Senior Data Engineer builds and migrates data pipelines to Databricks, optimizes PySpark transformations, and aligns with CI/CD IaC practices in Azure-heavy environments.
Builds and maintains AI-driven ETL pipelines in Python and Kubernetes to power data products for a fast-growing tech team in Dubai.
Senior Data Engineer designs and maintains scalable data pipelines on AWS and Google Cloud, enabling analytics and BI while mentoring junior engineers.
Design and maintain cloud-based data platforms for aviation analytics, building scalable pipelines and ensuring data quality for enterprise reporting and BI.
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