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Builds and validates campaign segmentation logic using SQL and SSIS, then pulls and reconciles large datasets to ensure accurate, compliant delivery for marketing initiatives.
Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions Supporting…
Build customer-facing analytics dashboards in Power BI and Apache Superset, mine operational data with SQL, and translate insights into measurable process improvements for enterprise AI deployments.
Data Warehouse/Microsoft Fabric Engineer Location: US - Remote (Any Location) Remote Type: Remote Time Type: Full time Job Description In a world of possibilities, pursue one with endless opportunities. Imagine Next!…
Applications Engineer - Engineering Location: El Segundo, California, United States Department: Site Reliability About Varda Low Earth orbit is open for business. Varda is accelerating the development of commercial…
Senior DWH/BI analyst building and maintaining data warehouses, ETL pipelines, and BI dashboards to power corporate analytics and decision-making.
Lead a team of data engineers to build pipelines, data lakes, and AI-driven analytics for semiconductor manufacturing, focusing on ASML EUV machine data and agentic applications.
Build and maintain large-scale analytics and reporting systems for Mastercard’s pricing teams using SQL, Tableau/Power BI, and Python/R to deliver data-driven insights across global markets.
Design, build, and deploy ML models for global semiconductor manufacturing, focusing on time-series, image data, and anomaly detection using Python, TensorFlow, and cloud platforms.
Build predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse using PySpark, SQL, and Terraform to deliver business insights and scalable data products.
Manager, Advanced Analytics & BI Location: Toronto, Ontario, CAN Time Type: Full time Job Description Location: Toronto Address: 100 Queens Quay East Toronto, Ontario M5E 1V3 Canada Job Title: Manager, Advanced…
Build and maintain Azure-based data pipelines and analytics infrastructure using Databricks, Data Factory, and PySpark to process large-scale datasets for enterprise clients.
Build and maintain ETL pipelines, optimize SQL Server databases, and design data warehouses using SSIS, T-SQL, and Snowflake.
Maintain and enhance enterprise .NET applications in C#/.NET Core, troubleshoot production issues, and optimize SQL Server databases for a managed services team.
Build and maintain enterprise ETL pipelines using Microsoft SSIS, optimizing SQL Server data flows and supporting BI reporting for clients across industries.
Develop and maintain state IT systems using Java, Oracle, and Spring Boot for agencies like the Department of Inland Fisheries and Wildlife.
Build predictive models and AI solutions to optimize semiconductor manufacturing, analyzing large-scale datasets to improve yield, quality, and efficiency.
Designs and builds ETL/ELT pipelines, data lakes, and real-time ingestion systems (Kafka, Flink) to extract, transform, and load financial data for warehousing and reporting, with expertise in SQL, Informatica, and Linux scripting.
Oversee a Costa Rican call-center, track performance metrics, train agents, and implement data tools like Power BI and SQL Server to improve customer service and operational workflows.
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