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Build and maintain BI dashboards, ETL pipelines, and SQL-based analyses in Power BI and Microsoft Fabric to guide product, sales, and executive decisions.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
The Senior Data Engineer will design and manage scalable Snowflake data warehouse solutions and lead end-to-end data pipeline development. The role involves mentoring team members and collaborating with stakeholders to advance the company's data platform and MLOps capabilities.
This role involves building and maintaining full-stack healthcare applications using C#/.NET, Angular or React, and SQL Server. You will collaborate with a team to design solutions, mentor junior developers, and utilize AI-assisted tools to improve development workflows.
- Build and maintain KPI dashboards and metrics - Build and manage data engineering pipelines - Conduct root cause analysis using data - Design data warehouse architectures - Develop data models for analytics - Develop…
The Senior Data Engineer will design data warehouse architectures, develop ETL/ELT pipelines using Databricks, and build KPI dashboards. The role also involves creating analytics plans and ensuring secure data access.
Solutions Engineer at a DataOps startup, owning the technical win in sales cycles—leading demos, running POCs, mapping architectures with the Modern Data Stack—and providing hands-on technical onboarding and front-line support post-sale.
Builds and maintains Apple’s AI & Data Platforms, optimizing big data infrastructure for analytics, AI/ML apps, and reporting via distributed systems and cloud platforms.
Dropi is seeking a Data Engineer to design and maintain scalable data pipelines within AWS cloud environments. The role involves collaborating with business, data science, and development teams to transform large volumes of data into secure, high-performance solutions.
Dropi is seeking a Data Engineer to design and maintain scalable data pipelines and warehousing solutions using AWS technologies. The role involves collaborating with cross-functional teams to ensure data integrity and performance within their e-commerce platform.
Lead a data engineering team at Sanofi, designing and operating scalable data pipelines and platforms using Spark, Kafka, Snowflake, and AWS to support analytics and AI/ML use cases in the commercial business.
This early-stage full-stack engineering role involves building and maintaining end-to-end features, including data pipelines, multi-tenant architecture, and AI-driven UI components using Python, TypeScript, and React.
Design and lead enterprise-scale SQL Server data warehouse solutions that power critical business decisions at a global bank.
Design and implement scalable data platforms using Databricks Lakehouse, lead ETL modernization from Informatica to Databricks, and architect batch and real-time pipelines on cloud platforms using Spark, PySpark, SQL, and Delta Lake.
Principal role designing and engineering enterprise-grade data platforms, integrating Agentic AI, and enforcing Architecture as Code with CI/CD for scalable, governed data products in fintech.
The Staff Data Engineer will design and manage enterprise data architecture and pipelines using Azure Databricks, Power BI, and containerized solutions. This role focuses on optimizing data infrastructure, governance, and self-service analytics within the bank's Investor and Treasury Services division.
The Data and DevOps Engineer will design, automate, and maintain data workflows and business intelligence solutions using tools like Apache Airflow, Spark, and SQL. The role involves translating business needs into technical specifications, creating visualizations, and managing database systems.
This role involves designing and developing AI-based agents and intelligent automation solutions for RBC Wealth Management using Python, SQL, and Snowflake. The developer will work in a highly technical environment, leveraging AI-assisted coding tools to build scalable data pipelines and automated testing frameworks.
Data scientist designing and implementing ML and analytical models to support fraud detection, tax process improvement, and recovery optimization at Belgium's Federal Public Service for Finance, using SAS, SQL, R, and Python.
The Senior Data Engineer will develop and maintain a central data and analytics platform for the public sector, focusing on BI, data warehousing, integration, and AI projects using OpenShift.
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