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Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.
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.
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 build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Designs and maintains scalable data pipelines and databases for a real-estate brokerage, using Python, SQL, AWS, and ETL tools.
Builds internal web apps for a real-estate brokerage using React, TypeScript, GraphQL, PostgreSQL, and AWS services.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Build and maintain scalable data pipelines for AI systems, including ETL/ELT, data quality checks, and warehouse/lake architectures using Python, SQL, and cloud tools.
Build and maintain streaming data pipelines and ingestion systems for a health-coaching AI app, using AWS (Kinesis, SQS, Lambda) and Snowflake.
Build production-grade Java/Spring Boot backends and React frontends while using AI coding agents to accelerate development and improve code quality.
Build, scale, and maintain Java-based services and internal systems for a client in Amsterdam, making technical decisions in a hybrid team.
Build and maintain secure, scalable backend infrastructure for an AI-native social platform, optimizing databases, ML pipelines, and observability tools to power Gen Alpha’s creative community.
Build and maintain scalable ETL/ELT pipelines and data models in AWS using PySpark, Glue, and Delta Lake to power analytics and reporting for an Italian online grocery platform.
Develop and maintain backend services in Node.js/TypeScript, design scalable APIs, and integrate AI-driven features for a tech company serving clients like Airbnb and Amazon.
Build and maintain data pipelines, manage SingleStore databases, and support developers in a lakehouse environment.
Builds and maintains data pipelines and lakehouse platforms, ingesting and transforming data with SQL, PySpark, and streaming tools like Kafka.
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Designs and builds scalable data pipelines and self-serve infrastructure under a Data Mesh model, collaborating with domain teams to define data contracts and ownership.
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