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Senior Data Engineer designs and implements cloud data warehouses, ETL/ELT pipelines, and data models for clients across finance, healthcare, government, and other sectors.
Principal GCP Data Engineer designs and builds scalable data pipelines using BigQuery, Dataflow, and Dataproc, leading teams to deliver robust, cloud-native solutions for clients.
Leads data engineering teams to build AI-driven pipelines and data foundations for an energy-trading firm using Databricks, PySpark, Python, and Azure.
Principal Data Engineer designs secure, cloud-native data platforms and leads teams to modernize legacy systems using Azure/AWS/GCP, SQL, Python, and Spark.
Builds and maintains cloud data pipelines in Python and AWS, exposing data via APIs and ensuring reliable ingestion for reporting and operations.
Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
Build and maintain Microsoft Power BI and Fabric data models, ETL pipelines, and dashboards to support data-driven decisions in a consumer ecommerce business.
Principal Data Engineer designs and builds scalable data pipelines on Databricks/AWS or Azure, using PySpark, SQL, and Delta Lake to migrate customers to cloud data platforms.
Build and optimise cloud-first data pipelines using Azure Data Factory, Synapse, and Databricks to support analytics and AI for UK industries.
Build and maintain scalable data pipelines and analytics infrastructure for Roku’s CTV advertising auction platform, processing billions of daily ad events to support bidding strategy and monetization decisions.
Build and maintain data pipelines and architecture for a global energy trading firm, enabling real-time analytics and ML-driven insights for traders using SQL, Python, and Snowflake.
Design and maintain Salesforce data pipelines and integrations, ensuring accurate, synchronized data flows between Salesforce and other systems using ETL, APIs, and middleware.
Build cloud-native apps in C#/.NET on Azure, design Microsoft Fabric data architectures, and integrate LLMs—while troubleshooting production systems in a fast-paced startup.
Design, migrate, and optimize SQL Server and cloud data platforms (Azure/AWS) for a bank, building ETL pipelines, data warehouses, and HA/DR solutions while ensuring security and compliance.
Designs and builds Azure-based data pipelines and cloud systems to ensure high-quality data for analytics and AI projects.
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Design and build scalable data platforms and ETL/ELT pipelines, ensuring data quality and governance while integrating AI-powered tooling.
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, experimentation, and GenAI across the travel giant’s global brands.
Lead a team building and optimizing scalable data pipelines using Spark, Azure Data Factory, and cloud platforms to power AI-driven products and analytics.
Build secure, scalable data pipelines and platforms for intelligence workflows, integrating classified and geospatial data using Python, Spark, and AWS in regulated environments.
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