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Build and maintain scalable data warehouses and pipelines to power AI-driven customer-insight dashboards using Snowflake, Airflow, Kafka and Python.
Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
Build and maintain data pipelines, AI agents, and dashboards to modernize Autodesk’s vendor management platform, integrating Snowflake, contract systems, and document intelligence tools.
Salary: Salary + Benefits Lead the evolution of our Azure Databricks platform and help shape the future of data engineering at Skills Group. Skills Group is looking for an experienced Senior Data Engineer - Azure…
Lead the build of a cloud-scale data platform from ingestion to warehouse, designing real-time pipelines and AI-powered analytics for a global fintech trading platform.
Design and maintain CarePartners’ enterprise data platform, ensuring secure, compliant data pipelines and governance for analytics and AI readiness across clinical, financial, and HR systems.
Builds and maintains healthcare data pipelines, dimensional models, and semantic layers in Snowflake and BI tools to power trusted analytics and dashboards for clients.
Manages utility-focused IT projects like outage management and DER integrations, coordinating teams, vendors, and technical delivery for grid modernization initiatives.
Senior Data Engineer builds and maintains AI-powered data pipelines and ML systems at a fast-growing hospitality workforce platform, ensuring reliable data flow from ingestion to real-time decisioning.
Job Description Willkommen bei XXXLdigital, wo digitale Innovation echte Wirkung zeigt. Als digitaleOrganisationseinheit der XXXL-Gruppe widmen wir uns allen Facettendes E-Commerce undstationrem Handel.Die…
Build and maintain cloud-native data pipelines on Databricks and Azure/AWS to feed analytics and ML models for a large European omnichannel retailer.
Builds scalable ELT pipelines and optimizes data models for Zendesk’s analytics platform using SQL, dbt, Python, and cloud warehouses like BigQuery.
Build and maintain scalable data pipelines and infrastructure for public-sector or energy clients using Spark, Snowflake, Airflow, and cloud tools.
Build and maintain data pipelines and ETL workflows that feed WPP Media’s analytics and decision-making systems, using SQL, cloud tools, and modern data stack technologies.
Lead a team to design and deploy scalable data pipelines and GenAI solutions using Snowflake, Python, and Azure OpenAI, ensuring production-grade AI endpoints and ETL workflows.
Design and build scalable data pipelines, warehouses, and models in Snowflake and PostgreSQL to power analytics and AI features for a global retail brand.
Build and maintain scalable data pipelines on Databricks using Spark/PySpark to power analytics, reporting, and risk systems for a large North American bank.
Design and maintain scalable GCP data pipelines, BigQuery warehouses, and dbt models for analytics infrastructure, ensuring performance and data quality.
Build and maintain AWS-based ETL pipelines that ingest Salesforce data into a Parquet-backed enterprise data lake, optimize Athena queries, and manage Redshift/Glue infrastructure using Terraform.
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