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Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Build and maintain secure, scalable data pipelines in Azure Synapse/Fabric using Python, Spark, and DevOps to ingest, transform, and validate financial datasets for regulatory reporting.
Senior Associate builds data pipelines and AI-driven tools in Azure to optimize capital projects for PwC’s Real Assets advisory team.
Lead the design and development of Azure-based data pipelines and warehouses for Manulife’s wealth and asset management systems, using PySpark, Synapse, and ETL processes.
Build and maintain scalable data pipelines and warehouses for Frostbite’s quality-engineering telemetry, enabling ML and engineering teams to analyze game-creation data efficiently.
Build and optimize Azure-based data pipelines, warehouses, and analytics for Global Wealth and Asset Management using Databricks, Synapse, and Power BI.
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Build and maintain scalable data pipelines using Python, DBT, and cloud warehouses (Snowflake/Azure) to power analytics and business decisions.
Designs and builds scalable data pipelines and lakehouse architectures on Azure/Databricks to power analytics and ML, using ELT/ETL, star/snowflake schemas, and streaming/event-driven patterns.
Builds and maintains Azure-based data pipelines and lakehouse/warehouse solutions using Databricks, PySpark, and Microsoft data stack to power analytics and applications.
DevOps Engineer builds and maintains CI/CD pipelines for Azure-based data analytics pipelines, automates deployments, and optimizes cloud infrastructure to support data product delivery.
Senior data engineer building and optimizing cloud-based data pipelines, APIs, and analytics solutions using Python, PySpark, Databricks, and Azure tools to support automation and decision-making.
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to manage and transform data for clients.
Build and maintain data pipelines and infrastructure to support AI model training and analytics at a company whose core product is AI.
Senior pre-sales role designing enterprise investment data architectures for capital markets clients, demonstrating Rimes’ managed data solutions and analytics platform to CIOs and investment teams.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to ensure high-quality data for analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Build and maintain large-scale data pipelines and models in Azure or AWS, integrating with Power BI and automating processes using Python or R.
About Signant Health At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise,…
Builds and maintains ETL pipelines in Azure Synapse using PySpark, designs data storage solutions, and ensures data quality for clients.
Build and maintain ETL pipelines in Python on Azure Synapse Analytics to move and clean data for clients.
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