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Build and maintain the firm’s Microsoft Fabric-based data platform, creating scalable pipelines and models to power analytics and AI tools across the legal practice.
Build and maintain data pipelines and models in Snowflake, integrating dealer systems, ecommerce, and marketing platforms to create analytics-ready datasets and support AI initiatives.
Builds and maintains Azure-based data pipelines, profiles undocumented datasets, and documents data quality issues for stakeholders using SQL, PySpark, and Power BI.
Build and maintain ETL/ELT pipelines that feed Shopify, ERP, CRM and logistics data into a BI environment, ensuring reliable reporting and analytics for an ecommerce business.
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Senior Data Engineer builds and maintains cloud-based data pipelines and models using Snowflake, dbt, and AWS to enable analytics and automation for a national glass services company.
Lead a team to design and deploy Snowflake-based data architectures, build high-performance ETL/ELT pipelines, and productionise AI models for clients using Snowpark ML and Cortex.
Build and maintain scalable data pipelines and warehousing solutions in Azure to support Kinetic’s sustainable transport business with trusted, high-quality data.
Build and maintain scalable data pipelines in Microsoft Fabric to power analytics, reporting, and AI initiatives for a law firm.
Design and maintain scalable data pipelines and Lakehouse/Warehouse solutions using Microsoft Fabric to modernize SCC’s analytics platform and integrate clinical, finance, and operational data for trusted insights.
Build and maintain Azure-based ELT pipelines and data architecture for a fintech lending platform, working closely with analysts and data scientists to support credit decisioning and analytics.
Senior Data Engineer builds and maintains Azure-based data pipelines and platforms, optimizing ETL/ELT workflows and ensuring data quality for business insights.
Build and maintain data pipelines and cloud integrations for a national homebuilder, using Boomi, SSIS, Snowflake and Microsoft Fabric to deliver reliable analytics.
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Lead hands-on data engineering work, designing and building scalable AWS and Databricks data platforms while mentoring engineers and aligning solutions with business needs.
Build and maintain a marketing data platform that ingests and standardizes data from digital ads, agencies, and analytics tools to power marketing analytics and performance measurement.
Design and build scalable AWS-based data pipelines and ETL/ELT processes using Snowflake and Kafka to support enterprise analytics and reporting.
Build and maintain Azure-based data pipelines, profile undocumented datasets, and deliver clean, documented data for reporting and analytics using PySpark, SQL, and Power BI.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
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