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Lead a team of data scientists to build and deploy credit-scoring models that power lending decisions, ensuring accuracy, compliance, and business impact.
Build and scale a cloud-native data platform on AWS to power real-time recommendations and analytics for Europe’s leading brands.
Designs and builds data pipelines, ETL processes, and streaming ingestion using Spark, Kafka, and cloud tools to feed analytics platforms.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Build and maintain cloud data pipelines and analytics platforms using Azure Synapse, PySpark, and SQL for large-scale enterprise projects.
Designs and builds ETL pipelines using IBM DataStage, Ab Initio, and Snowflake to move data from operational systems to business intelligence environments.
Designs and deploys ML models for localization workflows using Python, TensorFlow, and AWS services; owns projects from conception to production.
Designs and builds cloud data pipelines and warehouses for healthcare analytics using SQL and Google BigQuery.
Designs and builds data pipelines using Power BI, Azure Data Factory, Databricks, and Python to deliver business insights and automate reporting.
Designs and builds data pipelines to move and transform data efficiently, writing maintainable code while collaborating with cross-functional teams in an agile environment.
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Designs and maintains scalable data pipelines and storage systems using Python, Java, Spark, and SQL/NoSQL databases to ensure data quality and deliver business insights.
Designs, builds, and maintains scalable data pipelines and analytics solutions using C#/.NET, SQL, and BI/ETL tools to support data-driven initiatives.
Build and maintain big-data pipelines and storage for Grubhub’s marketing analytics, turning raw orders into automated reports and metrics used by senior leadership.
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Build and deploy AI-driven applications and agents using Microsoft Copilot Studio, Azure OpenAI, and Azure AI Services to solve real business problems in a Microsoft enterprise environment.
Senior to Lead Data Engineer builds and optimizes IBM Cognos reports, dashboards, and data models for business intelligence, using SQL and Oracle databases.
Leads a team building and optimizing scalable data pipelines on Azure Databricks and Microsoft Fabric to power BI and AI use cases across enterprise platforms.
Senior Software Engineer builds AI-powered data platform features using React, Python APIs, and AWS, including LLM agents and RAG for secure, scalable financial data experiences.
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