Workana

Data Engineer

• Design, develop, and maintain scalable and efficient data pipelines (ETL/ELT).
• Build and optimize modern data architectures (Data Warehouse and Lakehouse).
• Implement data models (primarily dimensional modeling using the Kimball approach).
• Integrate multiple data sources ensuring quality, consistency, and availability.
• Perform data profiling and anomaly detection.
• Optimize SQL queries and performance across data platforms.
• Collaborate on defining standards, best practices, and data architecture.
• Implement CI/CD processes and DevOps practices applied to data pipelines.
• Work under Agile methodologies (Scrum/Kanban) in collaboration with multidisciplinary teams.

Senior Data Engineer

Backend Engineer

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