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Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our…
Build and optimize ETL pipelines in Microsoft Fabric using Python, PySpark, and SQL to move and transform data for analytics and reporting, while collaborating with global teams.
Designs, builds, and maintains scalable data pipelines on Azure using Databricks, PySpark, and Python to process and deliver data for business needs.
Senior Data Engineer builds and maintains large-scale data platforms and pipelines for a global bank, using Spark, Kafka, Iceberg, and cloud-native tools to deliver trusted, AI-ready data assets.
Designs and oversees large-scale data platforms and lakehouse architectures for Chevron, focusing on Azure Databricks, PySpark, and cloud data pipelines to support energy sector operations.
Lead a team building and maintaining data governance solutions, ETL pipelines, and enterprise data models using Databricks, Snowflake, and AWS for JPMorganChase’s fintech infrastructure.
Principal Security Architect at iManage designs and enforces enterprise security strategies, including zero trust, IAM, and cloud infrastructure, while mentoring teams and aligning security with business growth in a SaaS environment.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Design and lead Aperam’s enterprise-wide AI transformation, architecting scalable ML solutions across cloud and on-premise while aligning business needs with technical execution.
Lead a team building scalable, governed data pipelines and platforms using Ab Initio, AWS, Databricks, and Spark to deliver trusted insights and controls for JPMorganChase’s data ecosystem.
Lead a team to design, prototype, and deploy AI/ML, generative AI, and cloud-native solutions for healthcare use cases on AWS and GCP, ensuring compliance and scalability.
Designs and maintains enterprise-scale data pipelines in Azure and Databricks, building scalable ETL/ELT frameworks and ensuring data quality for analytics and reporting.
Lead a team of data engineers to design and build cloud-native data platforms (Azure Databricks, Microsoft Fabric) that power automated decision-making and scalable analytics for enterprise clients.
We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging. Consistent with this…
Design and implement modern data platforms and AI agent foundations for automotive manufacturers using AWS analytics tools like Redshift, Athena, and EMR.
Analyzes and integrates enterprise data to build trusted datasets for reporting and analytics, partnering with business and engineering teams to define requirements and ensure data quality.
Lead cloud architect designs enterprise-grade Azure and Databricks data platforms for financial clients, building scalable ETL pipelines, governance frameworks, and MLOps patterns while guiding engineering teams.
Designs and maintains enterprise data warehouse architecture, data models, and pipelines for a top rehabilitation research hospital, focusing on healthcare analytics and integration with EHR systems.
Design and deploy automation solutions for a semiconductor manufacturing facility, integrating robotics, PLC controls, and data systems to improve safety, efficiency, and traceability.
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