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Follow →The Data Engineer will design and build data pipelines, develop ETL workflows, and create data models to support production systems. The role involves analyzing data sources for accuracy and translating business requirements into technical solutions.
Builds and maintains production-grade data pipelines and ETL workflows in Python, ensuring security, privacy, and compliance for a custom enterprise application.
Designs and maintains scalable data pipelines and ETL/ELT processes for a digital bank, ensuring data quality and integrity while optimizing performance and leveraging AI tools.
Designs, builds, and maintains ETL pipelines to move and transform data from source systems into a process intelligence platform while enforcing governance and performance.
Builds and maintains ETL/ELT pipelines, dbt models, and data quality checks for a client’s data infrastructure.
Designs and maintains ETL pipelines, integrates ERP and business data, and builds scalable workflows to deliver reliable datasets for analytics and reporting.
Designs, builds, and maintains scalable data pipelines and ETL/ELT processes to ingest, transform, and store data from multiple sources for reliable downstream use.