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Designs and maintains scalable data pipelines and ML-ready datasets for analytics and AI use cases in a global payments company.
Lead a team to design, build, and maintain scalable data pipelines and models in Azure Data Factory, SQL Server, and Databricks, ensuring high-quality financial data for analytics and decision-making.
Build and deploy AI/ML solutions for legal and enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms like Azure/AWS.
Build and maintain ML pipelines on Azure and Databricks, deploy models, and set up MLOps processes for a higher-education group.
Builds cloud-native Java/Python microservices and PySpark ETL pipelines on AWS, including REST APIs, event-driven services, and Elasticsearch/OpenSearch integrations.
Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we…
Build and productionalize enterprise data sets from scratch to power analytics and strategic decisions, using SQL, Python, and cloud platforms like Snowflake or BigQuery.
Design and build Azure-based data pipelines and analytics solutions using Azure Fabric, Databricks, PySpark, and Data Factory to transform raw data into actionable business insights.
Builds and tests PySpark transformations on AWS Glue/S3, contributes to shared platform libraries, and follows CI/CD and IaC standards using GitLab and Terraform.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Configure and maintain Veeva Vault QMS for life-sciences quality processes, integrate with enterprise systems, and build Databricks data pipelines while ensuring compliance and audit readiness.
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.
Senior Data Engineer builds SAP BW and Palantir Foundry pipelines to integrate industrial data for Airbus Helicopters, using ABAP, PySpark, and SQL in an Agile team.
Senior Data Engineer builds SAP BW and Palantir Foundry pipelines to integrate industrial data, using ABAP, PySpark, and SQL within an Agile team at Airbus Helicopters.
Senior Data Engineering Analyst at Experian designs and maintains data pipelines to power global financial, healthcare, and mobility solutions using advanced data technologies.
Builds and maintains cloud data pipelines and lakehouse infrastructure using SQL, Python, Databricks, Spark, and PySpark.
Build and maintain a Databricks-based BI platform, writing PySpark ETL pipelines and orchestrating workflows in Azure Data Factory to feed Power BI dashboards for a global security services company.
Build and maintain Databricks-based ETL pipelines and lakehouse architecture to power Securitas’ global BI platform, using PySpark, Delta Lake, and Azure Data Factory.
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