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Build and maintain scalable ETL pipelines and data marts using Scala/PySpark, Spark, Kafka, and Azure Databricks to power Amadeus’s travel-tech infrastructure.
Build and maintain scalable data pipelines using Azure Databricks, Azure Data Factory, and SSIS to support analytics and reporting for a Mumbai-based product team.
Designs and implements Reltio-based Master Data Management (MDM) solutions for Amgen’s pharma/life sciences data, focusing on data modeling, Lifecycle Actions, Python scripting, and API integrations to ensure golden record accuracy and compliance.
Build and govern enterprise reference data models, taxonomies, and ontologies for a biotech company, ensuring semantic interoperability and FAIR data principles across scientific and business domains.
Build and maintain Azure-based ETL/ELT pipelines and data workflows to support analytics and reporting for automotive infotainment systems.
Designs and delivers secure, scalable financial technology solutions, writing production code and improving system architecture in an agile environment.
Develops custom analytics tools at scale for national security missions, collaborating with data scientists and analysts to prototype, deploy, and maintain solutions using Python, Java, PySpark, and Jupyter Notebooks.
Design and optimize large-scale PySpark data pipelines for enterprise analytics, handling TB–PB datasets with performance tuning and cloud-native Lakehouse architectures.
Build and maintain Python-based data pipelines using Airflow and Medallion Architecture to ingest, transform, and deliver automotive data for analytics and reporting.
Builds and maintains data pipelines, ETL processes, and data warehouses to extract, transform, and load large datasets from diverse sources (structured/unstructured) using Hadoop, PySpark, Airflow, and BigQuery. Focuses on data validation, automation, and creating actionable business insights via algorithms and SQL.
TransUnion's Job Applicant Privacy Notice Team Overview En TransUnion, estamos dedicados a encontrar formas en las que la información pueda utilizarse para ayudar a las personas a tomar decisiones mejores y más…
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Design and maintain financial data pipelines using SQL, Python, PySpark, and Microsoft Fabric to automate reconciliations and reporting for reserving, claims, and enterprise decision-making.
Build and optimize Python-based data pipelines and ETL processes for a large banking client, using SQL, Pandas, PySpark, and cloud tools to ingest, transform, and deliver high-quality data.
Build and maintain scalable eCommerce data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and intelligent commerce experiences across Latin America.
Build and maintain scalable software, data pipelines, and automation solutions in Python and SQL to support Amgen’s drug R&D and commercialization, using cloud platforms like AWS and Databricks.
Senior Full Stack Engineer builds and maintains a unified analytics web app using C# (backend) and Angular (frontend), integrating PowerBI and AI-assisted workflows. Core tasks include architecting microservices, migrating legacy reporting features, and optimizing multi-tenant data access with EF Core and SQL Server.
Design and operate scalable eCommerce data pipelines using Azure Databricks, PySpark, and SQL to integrate high-volume platforms and deliver analytics-ready data products for Latin American markets.
Lead a team to build data analytics, automation, and GenAI solutions for banking operations, using SQL, Python, Tableau, and LLMs to deliver insights and streamline workflows.
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
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