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Leads data engineering initiatives for an insurance company, designing and building scalable pipelines on AWS, Databricks, and Snowflake to support AI/ML, analytics, and business intelligence.
Leads global data architecture for Mastercard, defining cloud-native and hybrid systems for real-time/batch analytics, ensuring security, compliance, and scalability across 200+ countries.
Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
Lead data engineering and operations for RBC’s next-gen AI-ready data platform, defining data flows, AI/ML pipelines, and executive reporting frameworks while mentoring teams and ensuring enterprise-scale reliability.
Build and maintain scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud services to transform raw data into insights for analytics and AI workloads.
Builds and maintains high-performance, scalable data-serving platforms for quantitative finance, optimizing system reliability and enabling seamless data sharing across research workflows.
Designs and modernizes data pipelines, migrating SQL Server to Hadoop/Databricks while enabling AI-driven insights and real-time analytics for Visa’s global payments infrastructure.
Designs and optimizes complex data pipelines, frameworks, and architectures for Amgen’s healthcare data, leveraging Databricks, Spark, and AWS to enable self-service analytics and AI-driven insights.
Builds and maintains scalable data pipelines and feature engineering workflows on Databricks Lakehouse, transforming healthcare/member data into trusted assets for AI, ML, and decision intelligence. Focuses on real-time ingestion, data quality, governance, and collaboration with data science/AI teams.
Design and build scalable data pipelines using Databricks, Spark, and AWS to enable analytics and AI-driven insights for a biotech company.
Become a part of our caring community The Lead Data Engineer owns the NBA platform's data foundation on the Databricks Lakehouse. This role is responsible for the architecture, delivery, quality, governance, and…
Maintain and improve Humana’s NBA platform by diagnosing issues, enhancing reliability, and implementing features across a polyglot stack of Java, Node.js, Kafka, Temporal, and Databricks.
The Cloud Engineer builds and maintains scalable data solutions on Azure and AWS using Databricks, Spark, and Python. The role focuses on data ingestion, pipeline development, and supporting FinOps initiatives through cross-functional collaboration.
The Senior Cloud Engineer designs and supports scalable cloud data platforms using Azure, AWS, and Databricks. The role focuses on building ETL/ELT pipelines, API integrations, and automation to support FinOps and enterprise data initiatives.
Data Engineer owning and scaling data infrastructure for traffic and road IT systems, building ETL pipelines and driving the data lifecycle on AWS cloud within agile squads at a government transport authority.
The Senior Solution Architect will design and implement end-to-end data architectures on the Databricks platform, focusing on lakehouse architecture, data ingestion, and governance. The role involves leading technical discussions, mentoring teams, and ensuring scalable, secure data solutions for clients.
A Junior Data Engineer building Azure Databricks data pipelines, implementing Delta Lake and medallion architecture, and supporting Databricks Genie deployment for a modern data platform.
The Cloud Engineer will manage and optimize cloud-based data storage and processing solutions using AWS, Databricks, and Informatica IDMC. The role involves designing ETL/ELT pipelines and ensuring data quality and integration across various sources.
The Data Engineer will own the end-to-end design and delivery of data pipelines, models, and storage architectures. The role involves building data quality and governance capabilities while supporting AI and retrieval-based solutions using cloud-native technologies.
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
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