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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.
Build and deploy data pipelines, ETL workflows, and cloud data warehouses for enterprise clients using SQL, AWS/GCP/Azure, and visualization tools.
Build and maintain cloud data pipelines on AWS, integrate corporate data sources (SAP, Salesforce), and collaborate with data science teams to deliver scalable, high-quality data solutions for enterprise clients.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Data Engineer builds and maintains data integration pipelines using Denodo, creating virtualized views and ensuring data quality for clients in a remote, 4-month contract role.
Build and maintain scalable data pipelines to turn AI/ML model outputs into reliable, high-quality data products for retail applications using Python, SQL, Spark, and cloud platforms.
Design and build cloud-native data pipelines on Azure and Databricks, modernizing legacy data models into scalable analytics structures.
Build and maintain ING’s data platforms, designing ETL pipelines and data models in Azure to support regulatory and analytical reporting in a DevOps environment.
Senior Data Engineer builds and maintains scalable data pipelines, working with analytics and data-science teams using Python and SQL in a modern data stack.
Lead the design and scaling of Euroinnova’s BigQuery data warehouse and ETL pipelines, integrating multiple data sources for their edtech platform.
Build and maintain scalable data pipelines and AI-driven features for a hospitality analytics platform, using Python, BigQuery, and GCP to power insights and machine learning.
Build and maintain Google Cloud-based media data pipelines, ETL processes, and dashboards to track billions of ad impressions and drive ad-tech performance insights.
Designs data pipelines, models NoSQL data in MongoDB, and builds dashboards with Metabase for AI and web products, integrating with Node.js backends.
Design and maintain data pipelines and ETL processes to support AI/ML models and quantum computing applications using Python, SQL, and cloud platforms.
Designs and builds scalable Azure Databricks data pipelines using PySpark and SQL to transform and optimize data for a modern lakehouse platform.
Data Engineer builds pipelines and models to link bio-sample identifiers with internal datasets for a pharmaceutical company’s GenAI initiative, using Spark, AWS, and CI/CD.
Lead the design and development of scalable data pipelines and architectures for a healthcare company, ensuring data availability and quality for analytics.
Build and own haddock’s data infrastructure from scratch, designing pipelines and models that power AI agents and analytics for restaurant back-office software.
Build and maintain cloud data pipelines and ML solutions on GCP, AWS, and Azure using Python, SQL, dbt, and API-first architectures.
Build and optimize data pipelines (ETL/ELT) in Azure to integrate and clean hotel and guest data, enabling analytics and Power BI dashboards for business decisions.
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