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Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and reporting, using SQL, Snowpark, and Airflow.
Build a Snowflake Native App that embeds Neo4j graph analytics into customers' warehouses, shipping Java/Python runtimes, SQL-first APIs, and secure DevOps pipelines for enterprise data teams.
Builds and refines user-facing interfaces and backend services for Neo4j’s graph analytics cloud platform, focusing on React-based UIs, TypeScript, and Go/Java/Python APIs.
Lead a team to design and deploy Snowflake-based data architectures, build ETL/ELT pipelines, and productionise AI models for clients using cloud-native tools and best practices.
Lead Snowflake migrations and implementations, build semantic data models, and integrate BI tools like Power BI for enterprise reporting while applying modern DevOps practices.
Designs and builds scalable Snowflake-based data pipelines for healthcare analytics, using SQL, Python, dbt, Snowpipe and Snowpark.
Build and maintain scalable data pipelines on Snowflake to power healthcare analytics and interoperability, using SQL, Python, and modern data engineering tools.
Build and maintain data pipelines and models in Snowflake, integrating dealer systems, ecommerce, and marketing platforms to create analytics-ready datasets and support AI initiatives.
Lead a team to design and deploy Snowflake-based data architectures, build high-performance ETL/ELT pipelines, and productionise AI models for clients using Snowpark ML and Cortex.
Builds and maintains Snowflake-based data pipelines and analytics models for healthcare systems, using SQL, Python, dbt, and Snowpark.
Design and lead enterprise-scale Data & AI solutions on Microsoft Azure, using Fabric, Databricks, and Purview to build scalable analytics and AI platforms for clients.
Design and lead enterprise-scale Azure data platforms and AI solutions using Fabric, Databricks, Synapse, and Power BI to modernize analytics and enable AI/ML workflows.
Build and scale a modern enterprise data platform using Snowflake, SQL, Python, and Power BI to power analytics, reporting, and AI workflows for a global fintech firm.
Build and operate a cloud-native data platform on Snowflake and public cloud, owning provisioning, ingestion pipelines, transformations, governance, and cost-efficient scaling for analytics across the travel-tech company.
Senior Data Engineer builds and optimizes Snowflake-based cloud data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
Senior Data Engineer builds and optimizes Snowflake-based data pipelines and cloud-native platforms, mentors junior team members, and collaborates with clients to modernize their data infrastructure.
Senior Data Engineer builds and optimizes cloud-native Snowflake data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
Designs and builds scalable Snowflake-based data pipelines and ETL/ELT processes in Azure, using Snowpark and SQL to deliver cloud-native analytics solutions.
Build and scale Snowflake-based data and AI systems, designing pipelines, models, and LLM/RAG applications that turn messy business data into trusted, production-ready solutions.
Design and build high-performance RESTful APIs and data pipelines for a U.S. consumer-insights provider, using Python, Snowflake, AWS, and data-clean-room tech.
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