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Build and maintain AI/ML pipelines, transform data with Python/SQL/PySpark, and deploy LLMs using Databricks and MLOps/LLMOps practices.
Builds and maintains Databricks-based data platforms on Azure, including CI/CD pipelines, PySpark streams, and Delta Lake schemas with Unity Catalog.
Senior ML & Data Engineer builds and deploys scalable AI/ML pipelines and LLM-driven solutions using Python, PySpark, and Azure Databricks in a banking/insurance environment.
Designs and maintains Azure Databricks lakehouse architectures, tuning pipelines and monitoring for 24/7 reliability while collaborating with client teams.
Designs and maintains Azure Databricks pipelines and lakehouses to ensure reliable, high-performance data platforms for clients, using Python, SQL, and modern data-ops practices.
Own and automate ML pipelines on Azure and Databricks, from data ingestion to model monitoring, ensuring reliability and observability for applied AI systems.
Build and maintain ETL/ELT pipelines on Azure using Databricks, PySpark, and Delta Lake to move and transform data for analytics and reporting.
Build and maintain scalable data pipelines on Databricks for clients in healthcare and banking, ensuring reliable data flows that power analytics and AI systems.
Designs and builds scalable data pipelines and curated data products on Databricks using SQL, Python, and PySpark with a focus on governance and quality.
Principal Data Engineer designs and builds scalable Databricks-based data platforms, owning architecture from ingestion to consumption while guiding teams on Delta Lake, Unity Catalog, and governance.
Build and maintain a self-serve data platform for a large classifieds marketplace, owning batch and streaming pipelines, lake management, and APIs that power analytics and ML workloads using Databricks, AWS, Spark, Python, Kafka, and Airflow.
Build and maintain scalable data pipelines on Databricks using SQL, Python, and PySpark, applying data warehousing principles and governance with Unity Catalog.
Build and maintain a Databricks-based data platform on Azure, migrating legacy systems and developing PySpark/Airflow pipelines for reliable, scalable financial data pipelines.
Designs, builds, and maintains secure ELT pipelines and data models for municipal data, ensuring high-quality datasets for BI, policy, and AI use cases in a government setting.
Design and maintain data pipelines using Databricks, Python, and PySpark in Azure/AWS to build scalable ETL/ELT solutions for analytics and reporting.
Maintain and evolve Collibra’s data-governance platform, build self-service tooling, and integrate it with Databricks and enterprise systems using Python, Java, and Azure.
Build and maintain a cloud-hosted dashboard for water-quality monitoring and algae-control systems, using Python backends, REST APIs, relational databases, and AWS infrastructure.
Build and scale a proprietary platform that powers interactive brand experiences in physical spaces, using TypeScript, Node.js, React, and microservices.
Build and maintain full-stack web platforms for serious games using PHP/Laravel and Vue.js, collaborating with designers and artists to deliver educational and impactful gaming experiences.
Build and optimize backend services for Unity’s Package Manager using Node.js, C#, or C++ while collaborating with UX and editor teams to enhance developer experience.
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