Note: The job is a remote job and is open to candidates in USA. unybrands is a next-generation brand accelerator platform focused on acquiring and scaling digital-first consumer brands. The Senior Data Engineer will design, build, and optimize cloud solutions on Google Cloud Platform, transforming complex business needs into innovative solutions.

Responsibilities

• 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 We’rSQL
• 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

Skills

• 8+ years in IT, with 3+ in cloud architecture or GCP solutions
• Proven hands-on experience with Google Cloud Platform services
• Strong knowledge of data architecture, ETL/ELT, and data warehousing (BigQuery)
• Excellent communication and problem-solving skills
• Solid coding skills in Python (preferred), Java, or Scala
• Familiarity with Airflow, DBT, and version control (e.g., Git)
• Industry experience in e-commerce, retail, or CPG

Company Overview

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