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Designs and runs tests for data pipelines and Snowflake data warehouse to ensure accuracy and consistency of enterprise data platforms.
Designs and runs tests for data pipelines and validates Snowflake data warehouses to ensure enterprise data accuracy and reliability.
Builds and maintains Snowflake data warehouses and designs Tableau dashboards to turn raw data into business insights for clients.
Build and optimize data pipelines in Azure Databricks using Python and SQL, applying Kimball dimensional modeling and Medallion architecture for scalable analytics.
Job Family : Systems Engineering (Digital) Travel Required : None Clearance Required : Ability to Obtain Public Trust The AWS Database Engineer will support application development, database engineering, data…
Senior Data Engineer builds and migrates data platforms into Snowflake, designs star-schema models, and uses DBT for transformations and quality checks.
Design and build scalable data pipelines, ML workflows, and governance frameworks on Azure to enable analytics and AI across an insurance company.
Build and maintain scalable data pipelines to ingest, process, and transform large volumes of data for AI training and analytics at TikTok.
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake, AWS) using ETL/ELT tools (Matillion) to support analytics and AI/ML workflows.
Build and maintain Power BI/Fabric semantic models and DAX measures for workforce analytics at a healthcare system, ensuring secure, performant KPIs and documentation.
Design data models and semantic models using SQL and dbt to create trusted datasets and interactive dashboards. Collaborate with clients to deliver modern analytics solutions on cloud platforms.
Lead a team building and scaling P&G’s global Consumer Data Platform on Google Cloud, designing pipelines, warehouses, and governance to turn raw consumer data into secure, actionable insights for brands like Always and Gillette.
Builds and maintains Databricks-based data pipelines for shipment, sell-out, and market share data in Central Europe, using PySpark and SQL to enable analytics for 12+ digital products.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines using Oracle, AWS Redshift, S3, Glue, EMR, and PySpark to process and warehouse large-scale data for analytics and reporting.
Principal Engineer leading the design and implementation of HTX’s AI Data Platform, building scalable pipelines and governance to fuel AI models for Singapore’s Home Team.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
Senior Analytics Engineer builds trusted, business-ready data models and semantic layers in Databricks to power dashboards, Genie spaces, and AI-driven self-serve analytics for product and business decisions.
Build and maintain analytical data models and ELT/ETL pipelines, translating business needs into reliable, high-performing BI solutions using SQL, Power BI, and Snowflake.
The Knot Worldwide is seeking a data engineer to design, build and maintain scalable data pipelines for large datasets. Sea uno de los primeros solicitantes, lea la descripción completa del puesto a continuación y…
Build and maintain IKEA’s supply-chain data pipelines and models in Databricks/Fabric, turning raw data into trusted analytics that drive better decisions across the global furniture business.
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