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Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Senior Data Engineer builds and scales BigQuery/dbt pipelines and BI dashboards to deliver analytics-ready datasets for reporting and insights.
Design and maintain large-scale data pipelines and Redshift infrastructure to integrate raw data sources with analytical systems, ensuring data quality and reliability for data-driven decisions.
Designs scalable Delta Lake data architectures with ACID transactions and time-travel queries, building ETL/ELT pipelines using Spark and Parquet storage.
Design and maintain SAP-native data pipelines for enterprise analytics, integrating ECC/S/4HANA with BW/4HANA, Datasphere, and HANA to build automated ETL/ELT workflows.
Designs and scales a finance data warehouse, integrating NetSuite, Salesforce, and billing systems to deliver analytics-ready data for reporting and AI initiatives.
Senior Data Engineer builds a cloud-based Lakehouse platform on AWS and GCP, owning data ingestion, dbt transformations, and Airflow orchestration for payment, marketing, and operational analytics.
Build and run evaluation frameworks to test and improve AI model accuracy and safety using Python/SQL.
Build and deploy large-scale AI solutions for enterprise customers, using Python/C++ and cloud platforms, while collaborating with cross-functional teams to solve complex business problems.
Designs and scales Snowflake-based cloud data platforms, builds reliable pipelines, and enables self-service analytics for trusted organizational insights.
Build and maintain high-performance data pipelines on AWS and Databricks to support real-time analytics and processing for a growing media platform.
Builds backend data services and APIs for airline and rail customers using .NET and cloud storage.
Design and maintain scalable data pipelines and platforms for a property developer, enabling analytics and AI initiatives using SQL and cloud tools like Azure and Power BI.
Build AI-powered agents and RAG applications using vector databases and orchestration frameworks to automate tasks and deliver data-driven insights for commodity markets.
Build and scale data pipelines and architecture for a growing product company using Python, SQL, dbt, Dagster, Docker, and Kubernetes.
Design and build production-grade data pipelines and cloud-native systems using Python, AWS, and Snowflake, ensuring scalability, security, and governance for enterprise analytics and AI use cases.
Builds and optimizes data pipelines and warehouses using Azure Data Factory and MSSQL to feed analytics and AI models for a mortgage broker.
Lead a team to build and maintain secure, scalable data pipelines and platforms for RCBC’s analytics and modeling needs, ensuring data integrity and a unified customer view.
Build and own AI-driven credit risk and growth models for a fintech company, influencing business decisions with production-ready machine learning solutions.
Builds and maintains web-scraping pipelines in PHP to extract and analyze website data for clients, ensuring reliable data collection and insights.
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