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Designs and builds Azure Databricks data pipelines and Lakehouse architectures using modern data processing tools.
Build observability platforms by instrumenting apps, collecting metrics, and creating ETL pipelines for engineering and business teams using Python, Java, TypeScript, Datadog, and OpenTelemetry.
Builds and maintains scalable data pipelines and lakehouse architectures to feed BI, analytics, and AI workloads using SQL, Python, and cloud platforms.
Senior backend/data engineer building scalable Salesforce Marketing Cloud automations, data models, and integrations using JavaScript, AMPscript, SSJS, and external APIs.
Senior Data Engineer builds and scales federated data infrastructure for genomics and AI in life sciences, translating scientific needs into robust engineering solutions.
Build and maintain scalable data pipelines and ML algorithms using Python, Spark, Kafka, and SQL to deliver business insights and drive digital transformation.
Lead the design and optimization of iRESTORE’s BI stack, including BigQuery, Looker Studio, and dbt pipelines, to enable data-driven decisions across marketing, operations, and logistics.
Senior PySpark Data Engineer builds and optimizes cloud-based big data pipelines using PySpark, AWS/Azure, and SQL Server for a global IBM subsidiary.
Builds and optimizes ETL pipelines on Microsoft Fabric and Azure for a UN migration agency, ensuring data quality and governance while collaborating with cross-functional teams.
Build and maintain data pipelines, clean and transform datasets, and integrate data flows into backend services and dashboards using Python, SQL, and orchestration tools.
Data Engineering Intern builds and optimizes ETL pipelines in Python and SQL, ensuring data quality while collaborating with cross-functional teams in Madrid.
Build and maintain databases, integrate data sources, and ensure analysts have clean, reliable data for insights using SQL, NoSQL, and Python.
Builds and maintains data pipelines for revenue operations, integrating marketing, sales, and finance data to support strategic decisions in a fast-paced product company.
Build and maintain big-data pipelines for financial-sector clients using Spark, Scala, and Python on Cloudera/Databricks.
Designs and builds scalable data platforms (lakehouse, ETL/ELT pipelines) and ensures data quality to power AI/ML workflows in a hybrid, international environment.
Senior Data Engineer builds and maintains secure, scalable data pipelines for AI-driven ECG analysis in a healthtech startup, ensuring data quality and regulatory compliance.
Designs and optimizes Azure-based data pipelines and lakehouse architectures using Data Factory, Synapse, and Delta Lake in a hybrid work setup.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Builds AI-ready data pipelines and products for life-science diagnostics, turning raw data into retrieval-ready, contract-governed assets for agent-driven modeling.
Builds AI-ready data pipelines and products for an AI platform, turning raw domain data into retrieval-ready, semantically annotated assets using agents and contract-governed standards.
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