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Architect and build a modern Lakehouse on Azure + Databricks for a Fortune 100 multinational, designing scalable data pipelines and enabling analytics and ML across the enterprise.
Build and maintain GCP-based data pipelines using Python, PySpark, Airflow, and BigQuery to process streaming and batch data for enterprise clients.
Builds and maintains ETL pipelines and BI reports for Life Sciences clients using Python, SQL, and Databricks.
Senior Data Engineer builds scalable ELT/ETL pipelines and data models in Python, SQL, dbt, and Airflow on AWS and Snowflake to power cost attribution and financial modeling for cloud optimization.
Build and maintain data pipelines and warehouses using Microsoft Fabric for clients, ensuring secure, high-quality data flows for analytics and reporting.
Designs and maintains GCP data pipelines, optimizes BigQuery, and builds ETL/ELT workflows to support business analytics and decision-making.
Designs, builds, and optimizes ETL pipelines and data lakes to process and store large datasets securely and at scale.
Build and migrate a cloud-native AI-driven edtech platform using NestJS/Python backend and React frontend, with Azure/AWS infrastructure and Jenkins CI/CD.
Designs and builds scalable data pipelines and ML data products using Python, Scala, or Java to support analytics and team-wide data needs in a product-focused environment.
Builds and maintains scalable web apps using Scala, Akka/Pekko, Kafka, and microservices; works across full-stack with SQL/NoSQL databases and agile teams.
Lead a team building cloud-based financial systems using JavaScript, Java, TypeScript, Python, Go, and AWS tools to meet regulatory needs and empower customers.
Design and implement AI solutions for enterprise clients, integrating GenAI, NLP, and multimodal systems while optimizing algorithms and reducing latency.
Build enterprise-grade data pipelines and cloud data platforms for financial clients, using ETL/ELT, SQL, Python, and cloud services like Azure/AWS to deliver insights and improve finance functions.
Build and optimize end-to-end data pipelines on Azure and Databricks, integrating data for analytics and AI use cases using Python, Spark, and SQL.
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Senior Data Engineer builds and maintains scalable data pipelines and infrastructure using AWS, Databricks, and Kafka to support analytics and AI initiatives in a large media company.
Senior Data Engineer builds and operates scalable cloud/on-prem data architectures, pipelines, and models to store, integrate, and secure enterprise data assets for AI and analytics workloads.
Build and maintain scalable backend services and real-time data pipelines for a Hong Kong-based ad-tech platform, using Golang and AWS.
Design and deploy AI/ML models (LLMs, GenAI, CV) and agentic systems for clients, using Python, TensorFlow/PyTorch, and cloud platforms.
Senior Software Engineer building cloud services and web apps to help customers design and optimize Wi-Fi networks using Java, Spring Boot, Node.js, and AWS.
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