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Builds and maintains scalable Azure Databricks lakehouse pipelines using PySpark and Delta Lake to deliver trusted, analytics-ready data products for enterprise systems.
Designs and maintains scalable data pipelines and analytics solutions for automotive software platforms using PySpark, Databricks, and Azure services to support data-driven decisions in vehicle development and operations.
Lead a team to design and maintain scalable data pipelines and analytics platforms for gaming clients using Microsoft and Azure cloud technologies, with a focus on Databricks and Snowflake.
Senior Data Engineer builds and scales Apna’s data platform, designing pipelines, lakehouse architecture, and query systems to power analytics, ML, and business decisions.
Designs, builds, and maintains enterprise Power BI dashboards and reports using Databricks as the primary data source, focusing on semantic modeling, DAX, and performance tuning.
Senior Data Engineer designs, builds, and optimizes data pipelines and analytics solutions using PySpark, Databricks, and Python to support tax lifecycle technology transformation.
Build and maintain a centralized data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics for healthcare revenue cycle management.
Builds and maintains a centralized healthcare data warehouse using Python/Scala, PySpark, and Azure Databricks to power ETL, reporting, and analytics across the company.
Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers,…
Build and maintain a secure, scalable cloud data platform using IaC, Kubernetes, and CI/CD for a defense program in Roy, Utah.
Senior data engineer building and optimizing cloud data lakes and pipelines for financial services, using AWS, Databricks, Spark, and ETL workflows to enable analytics and ML at scale.
Build and maintain MLOps platforms and pipelines to operationalize machine learning and generative AI models in a regulated healthcare environment using Databricks, AWS, and Python.
Senior Solution Engineer at Snowflake who designs and demonstrates AI/ML solutions, including LLMs and RAG, to enterprise customers and partners to drive large deal closures.
Design and deliver enterprise data platforms for a bank, integrating rule-based analytics, NLP, and AI to support credit risk, customer segmentation, and regulatory reporting.
Senior role building and governing a Databricks Lakehouse for real-time fraud detection and AI-driven risk modeling in a federal environment, blending data engineering, ML, and stakeholder analysis.
Lead the design and delivery of AI-powered enterprise platforms for a global commercial real estate firm, embedding LLM agents, RAG, and intelligent workflows across cloud-native systems.
Lead a team of data engineers to build and maintain scalable security data pipelines using PySpark, Databricks, and Delta Lake, transforming raw data into actionable intelligence for enterprise security decisions.
Build and scale NinjaOne’s modern data platform using Kafka, Spark, Iceberg, and Databricks, designing lakehouse architectures and reliable pipelines to power analytics and AI-driven products.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse,…
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