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Build and deploy ML and GenAI models for security, anomaly detection, and developer tools at a DevSecOps platform company.
Designs and builds a pricing engine using Microsoft Fabric, Power BI, and Dynamics 365 Business Central to deliver margin insights and dashboards for a packaging distributor.
Designs and builds data pipelines, ETL workflows, and reporting solutions using Python, PySpark, SQL, and tools like Denodo and Tableau to support analytics and governance at a global SaaS provider.
Designs and maintains big-data pipelines and ETL jobs using Python, PySpark, and Cloudera to ingest and process enterprise data for analytics and reporting.
Python Developer & Tester in the Enterprise Knowledge Department, developing and maintaining IT systems for data management, ensuring software quality via testing within an Agile framework. Core technologies include Python, SQL, DevOps tools, and data virtualization (Denodo).
Senior data scientist building pricing, demand, and elasticity models for a moving/logistics company, owning end-to-end pipelines, optimization, and causal measurement to drive multi-million-dollar commercial decisions.
Leads data architecture, pipelines, and databases for Oportun’s fintech platform, designing scalable solutions for credit/financial data while mentoring engineers and collaborating cross-functionally.
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven…
Build and deploy ML models and pipelines that power Adyen’s data products, from research to production monitoring and business impact measurement.
Build and maintain data pipelines, clean and standardize datasets, and ensure high-quality data access for analytics using Python, .NET/C#, SQL, Databricks, PySpark, and AWS.
Data analyst at an accredited IT company supporting large FMCG clients, building ETL pipelines, running statistical tests, and visualizing results in BI tools.
Design and lead enterprise-scale data platforms using Databricks, AWS/Azure services, and modern architectures like Medallion and Data Mesh; pair with engineers to build production-grade data products.
The Sr Quality Analyst validates ETL pipelines by writing SQL queries, designing test cases, and ensuring data accuracy from extraction to loading in data warehouses (Snowflake/Databricks) for a life sciences consulting firm.
Builds and optimizes scalable data pipelines using Python and Azure Databricks to process large datasets, integrate diverse data sources, and ensure data quality for financial services clients.
Builds and optimizes data pipelines and transformations using PySpark, Spark SQL, and Azure Databricks to integrate data from multiple sources, design cloud-based architectures, and support analytics for BI teams.
Build and maintain scalable data pipelines and analytics platforms using Microsoft Fabric, Spark, and Azure services to turn enterprise data into trusted insights for Microsoft’s operations.
Build and maintain scalable data pipelines and analytics platforms for financial institutions using big data tools like Spark, Hive, and cloud platforms.
Build and optimize cloud data platforms using Microsoft Fabric, Azure, and Power BI, designing scalable data architectures and AI-driven analytics solutions for enterprise customers.
Build and maintain scalable analytics pipelines using dbt, BigQuery, and Databricks to power data-driven decisions for a large Brazilian healthcare network’s digital app.
Build and optimize data pipelines using Spark and Scala for clients, ensuring scalable and efficient data processing solutions.
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