unybrands

Data Engineer

• Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security.
• Build Robust Data Pipelines: Develop and maintain reliable ETL/ELT pipelines using tools like Airflow, DBT, and languages like Python and SQL.
• Optimize BigQuery Warehousing: Design schemas, tune queries, and manage costs while working with large, complex datasets.
• Ensure Data Quality & Governance: Implement standards for data accuracy, consistency, and lineage tracking.
• Drive Performance & Efficiency: Monitor and optimize the performance and cost-effectiveness of cloud solutions.
• Leverage Industry Knowledge: Apply your domain expertise to solve real-world retail, e-commerce, and supply chain challenges.
• Maintain Security & Compliance: Build secure solutions aligned with privacy laws and industry best practices.
• Lead & Mentor: Guide engineers, share best practices, and foster a culture of technical excellence.
• Collaborate Across Teams: Work closely with stakeholders to define requirements and ensure solution success.
• Document Clearly: Produce high-quality design docs, architecture diagrams, and best-practice guides.

Senior Data Engineer – Solution Design