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Build and migrate data models, ETL pipelines, and data warehouses on Snowflake and AWS for Allianz’s OneDIA ecosystem.
Designs and builds scalable batch and streaming data pipelines in Python, Spark, and ClickHouse, and manages Airflow workflows for scheduling and monitoring.
Build and maintain data pipelines, integrate industrial IoT and ML models, and deploy AI solutions using Microsoft Fabric for an industrial digital-transformation project.
Senior Data Engineer builds and maintains data pipelines using SAP, AWS, Spark, Python/SQL, and Airflow for a tech consultancy serving EMEA clients.
Build and maintain data pipelines and ETL processes using Microsoft Fabric and Azure to integrate migration-related datasets for analytics and reporting.
Data Engineer Intern builds and optimizes ETL pipelines, implements data quality checks, and helps design A/B tests at Procter & Gamble.
Lead database migrations from Oracle to PostgreSQL, optimize data structures, and build ETL/batch processes while refactoring backend logic in Java.
Design and build a real-time data platform for healthcare analytics using Azure, Databricks, and PySpark, focusing on scalable, event-driven architectures.
Builds and maintains scalable data pipelines and models for enterprise clients, focusing on modern data architectures and governance.
Build and maintain data pipelines, integrate IoT and industrial data sources, and deploy ML models using Microsoft Fabric and Python for an AI-driven industrial transformation project.
Build and maintain Microsoft Fabric and Azure data pipelines to integrate and govern migration-related datasets for analytics and reporting.
Builds and scales generative-AI knowledge platforms, integrating corporate data with semantic models and cloud pipelines using Python/SQL.
Senior Data Engineer builds and maintains SRE and AI infrastructure, using Terraform for IaC and real-time streaming with Beam/Flink to support AI agents and analytics at a fintech payments company.
Build and maintain secure, scalable cloud data platforms using Databricks, AWS services, and Terraform to enable governed data processing and analytics.
Build and scale Qualifyze’s data platform, owning pipelines, modeling, and quality with SQL, Python, dbt, and orchestration tools while mentoring engineers.
Build and maintain data pipelines and models for mobile-game analytics, enabling monetization tracking, A/B testing, and AI-driven insights.
Build and maintain scalable data pipelines for real-world healthcare analytics, harmonizing source data with OMOP/FHIR standards and ensuring data quality.
Design and maintain scalable data pipelines and versioning workflows to support AI-driven oral-health technology using Python and AWS.
Build and maintain BI pipelines and reports for ERP/CRM systems, ensuring data-driven insights for business decisions.
Data Engineer builds cloud-based ETL pipelines in Python and Airflow to ingest and model data for analytics and reporting.
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