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Build and maintain scalable data architectures using Azure, Fabric, and Quantexa, developing pipelines, APIs, and analytics for financial and regulatory use cases.
Build and deploy AI models and data pipelines to optimize media strategies and operations for clients.
Build and maintain data pipelines, integrate sources, and enable analytics for clients using SQL, Python, and cloud platforms like AWS/Azure.
Build and maintain Azure-based data pipelines and warehouses for clients, using SQL, Python, and Databricks to turn raw data into scalable analytics solutions.
Build and maintain scalable data pipelines and analytics solutions for clients in industries like healthcare, logistics, and fintech using Python, SQL, Azure, Spark, and Kafka.
Build scalable data pipelines and realtime analytics platforms in Python, Spark, and cloud (GCP/AWS/Azure) for enterprise clients like KLM and ASML.
Senior Data Engineer builds cloud pipelines to move energy data from on-site systems to the cloud and helps integrate ML models for Ampowr’s Energy Management System.
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Designs and maintains scalable data pipelines in Microsoft Azure Fabric, transforming raw data into reliable analytics-ready datasets using Azure Synapse, Data Factory, Spark and SQL.
Build and maintain scalable data pipelines and infrastructure to transform raw data into usable datasets for analysis and reporting, collaborating with data scientists and analysts.
Designs, builds, and maintains scalable data pipelines and infrastructure to transform raw data into usable datasets for analysis and reporting.
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
Build and maintain scalable data pipelines in Java, ensuring high-quality, analytics-ready data for cross-functional teams using Hadoop/Spark and cloud platforms.
Build and scale backend services for Booking.com’s RegTech compliance platform, using Java and microservices to screen partners, mitigate risks, and generate regulatory reports.
Maintains and improves cloud infrastructure and data pipelines for a SaaS-based data-science platform, focusing on Azure, MongoDB, and Apache NiFi.
Build and maintain the cloud infrastructure and CI/CD pipelines for HAL24K Dimension, a SaaS platform that combines data science tools for model training, forecasting, and API development.
Build, scale, and maintain Java-based services and internal systems for a client in Amsterdam, making technical decisions in a hybrid team.
Builds and maintains Java-based data pipelines and ETL processes, working with big data tools like Spark and cloud platforms to ensure data quality and performance.
Design and build ETL pipelines in Python to merge banking data from Oracle, SQL Server, APIs and flat files into a target data warehouse.
Build and maintain Python-based data pipelines and services using Kafka, Hadoop, Docker, and Kubernetes, ensuring scalable ingestion, processing, and secure storage for production systems.
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