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Build and maintain a large-scale Regulatory Reporting Platform using Java and Apache Spark, processing high-volume financial data for enterprise clients.
Build data pipelines, automation tools, and metrics to accelerate AI-first self-driving development and simulation workflows.
Build and maintain large-scale data pipelines and products for the App Store, processing petabytes daily to generate insights while ensuring privacy and correctness.
Senior Data Engineer builds and optimizes Azure-based data pipelines for analytics, mentors teams, and designs scalable solutions to meet business needs in a large financial services company.
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 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 and warehouses to power Amazon Business’s B2B supply chain analytics and ML models.
Builds Azure pipelines to ingest and move data from on-prem systems like mainframes and SQL Server into cloud storage and analytics tools using Python, SQL, and orchestration platforms.
Senior Data Engineer builds and maintains Java-based data pipelines and scalable systems for capital markets, using tools like Spark, Kafka, and Databricks to ensure data quality and performance.
Build and own petabyte-scale ETL pipelines for multi-sensor data to generate high-definition maps used by Waabi’s autonomy software and AI-driven simulator.
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Build and maintain ETL pipelines, analyze financial data with Python/SQL, and create dashboards in Power BI to support treasury and finance decisions.
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a global food manufacturer undergoing digital transformation.
Senior Data Engineer builds and optimizes large-scale data pipelines for Samsung’s cloud services and devices, processing TBs of data daily using AWS, Spark, Kafka, and Python.
Leads a team building scalable data platforms on Azure/AWS, using Spark, Hadoop, and Airflow to power enterprise analytics and AI solutions.
Lead a team to design and build data pipelines and warehouses for enterprise clients, using Python/Java/Scala, cloud platforms, and ETL tools.
Builds and maintains Python-based data pipelines and analytics models on a Big Data/Data Lake, integrating cloud and on-premise systems for Commerzbank’s fintech products.
Builds and maintains Angular-based web apps that consume REST APIs, focusing on clean, reusable code and team collaboration.
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