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Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
Build and own the data backbone for a headless ecommerce SaaS platform, transforming raw transactional data into scalable pipelines and APIs that power real-time dashboards for 300+ fashion brands.
Build and maintain scalable full-stack features using React, Next.js, Node.js, and cloud-native AWS services for a global digital platform undergoing re-platforming.
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Build and maintain scalable front-end and back-end features using React, Next.js, and Node.js in a cloud-native environment for a global digital platform undergoing re-platforming.
Build and ship scalable backend services, APIs, and AI-enabled apps while working directly with clients to solve complex business problems using modern AI tools.
Build and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Design and build Azure-based data pipelines, warehouses, and analytics using Databricks, Data Factory, and Power BI to process large datasets and enable ML workloads.
Full Stack .NET developer building Dynamics 365 integrations and custom apps in C#, TypeScript, React, and Azure for enterprise clients.
Builds and maintains full-stack recruiting automation software using React, Node.js, and serverless architecture in a fast-moving YC startup.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Design and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Lead a Snowflake-based data platform team to build and automate a Single View of Customer for Aviva UK, using Python, SQL, Airflow, dbt, and cloud-native pipelines while coaching engineers and aligning with enterprise standards.
Builds and operates a sovereign European cloud platform for Earth observation and climate research using Kubernetes, serverless, and MLOps tooling.
Build and run the core PaaS platform that powers European Earth-observation and climate research, using Kubernetes, GitOps, observability stacks and incident response.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Lead the build of an AI-powered app builder using React, TypeScript, and serverless tech, shaping product direction and guiding AI engineers from concept to production.
Builds the core AI App Builder platform: a full-stack system where users describe ideas and the platform generates functional apps, using React/Next.js, Node.js, and serverless/edge tech.
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