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Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Lead a team of data engineers to build scalable data pipelines and cloud infrastructure (AWS/GCP/Azure) using Spark, Kafka, and Terraform, while collaborating with data scientists to industrialize models.
Build and maintain data pipelines, cloud infrastructure, and support data scientists in industrializing their models using technologies like Spark, Kafka, and Snowflake.
Design and build scalable data pipelines and cloud-based data platforms for clients, using tools like Terraform, Spark, Kafka, and Snowflake.
Build and maintain cloud-based data pipelines and infrastructure for clients, using Spark, Kafka, and cloud tools to support ML and AI projects.
Build resilient data pipelines and self-serve tooling for a crypto market maker, normalizing market, trading, and portfolio data in real time for desks, risk, finance, and research.
Designs and maintains scalable AWS-based data pipelines for government intelligence programs, using ETL tools, Redshift, and Python to process large datasets securely.
Designs and builds cloud-based data pipelines using AWS (S3, Kinesis) and databases (Exadata, SQL Server) for a consulting firm.
Build and optimize data pipelines, serverless AWS infrastructure, and backend components using Python, SQL, and Docker for a rail-vehicle manufacturer’s data platform.
Build and scale a cloud-native data platform on AWS, driving real-time analytics, personalization, and AI-powered data products for millions of users.
Senior Backend Engineer builds and scales a copyright-royalty microservice platform in AWS using Java SpringBoot, DynamoDB, OpenSearch, and serverless tools to process €1bn+ in royalties for 330k+ rightsholders.
Senior DevOps Engineer at DISCO building and scaling AWS-based cloud infrastructure, CI/CD pipelines, and observability for a legal-tech AI platform.
Third-line DevOps engineer supporting AWS/Azure infrastructure, Amazon Connect, and IaC (Terraform/PowerShell) while troubleshooting cloud services and integrations.
Senior Backend Engineer builds and maintains AI-driven trade and logistics systems in Java/Spring Boot and Python, integrating LLM APIs and cloud-native AWS infrastructure to automate industrial materials supply chains.
Build and scale backend services in Python, AWS, and Terraform, designing APIs, pipelines, and serverless architectures while collaborating with DevOps and product teams.
Build and maintain AWS infrastructure with Terraform, automate CI/CD pipelines, and ensure uptime for maritime data services using DevOps best practices.
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Leads data engineering teams to build AI-driven pipelines and data foundations for an energy-trading firm using Databricks, PySpark, Python, and Azure.
Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
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