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Design and deliver modern data platforms for clients, assessing architecture maturity and defining roadmaps for governance, migration, and cloud enablement in a consulting role.
Own the data context layer for Merck’s context-serving platform, defining product strategy and roadmap for healthcare data integration and context-aware services.
Build and maintain enterprise-scale data pipelines using Azure Synapse and Databricks, integrating large datasets and supporting Power BI reporting.
QA engineer who designs and automates tests for Databricks data pipelines and cloud migrations on AWS/Azure, validating data accuracy and ETL logic.
Designs and maintains scalable data pipelines, warehouses, and governance frameworks using Python, SQL, and cloud tools to ensure clean, reliable data for analytics and reporting.
Designs and optimizes data architectures for a global tech firm, transitioning legacy systems into scalable, high-performance data ecosystems using SQL, Python, and cloud warehousing.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Design and maintain scalable data pipelines for a global flavors and fragrances company, transforming raw data into business-ready datasets to power analytics and AI initiatives.
Build and maintain data pipelines, ETL processes, and cloud-based data platforms to transform raw data into clean, business-ready datasets for analytics and reporting.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Design and optimize Snowflake-based data warehouses and ETL pipelines using SQL, Python, and cloud platforms to support analytics and reporting.
Design modern data architectures and cloud strategies for financial institutions, leading teams to implement scalable analytics, governance, and AI solutions.
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more…
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Build and maintain cloud-based data platforms and analytics solutions, ensuring data governance and driving data-driven decisions for enterprise initiatives.
Senior Data Engineer builds and scales a Databricks- and Microsoft Fabric-based data platform for retail analytics, pipelines, and self-service BI.
Design and implement scalable data platforms (lakehouses, data lakes) and AI foundations for enterprise customers, focusing on governance, quality, and modernization.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Design and maintain Azure-based data pipelines for a Microsoft Fabric-powered lakehouse, integrating utility and IoT data for analytics and reporting.
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