Senior Data Engineer – Solution Design

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🕒 March 16

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Logo of unybrands

unybrands

51 - 200 employees

🛍️ eCommerce

🏪 Marketplace

🤝 B2B

💰 $300M Private Equity Round on 2021-07

eCommerce • Marketplace • B2B

unybrands is a company that specializes in acquiring Amazon FBA and DTC e-commerce businesses. They value the growth potential and importance of microbrands and aim to buy brands from founders looking for a profitable exit strategy, then grow these brands to new heights. unybrands prides itself on being fair, fast, and reliable, ensuring transparency throughout the acquisition and integration process. With extensive experience in managing online marketplaces, they aim to create a seamless transition for business founders and expand the acquired brands using their expertise.

📋 Description

• 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.

🎯 Requirements

• 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) • Solid coding skills in SQL, Python (preferred), Java, or Scala • Familiarity with Airflow, DBT, and version control (e.g., Git) • Industry experience in e-commerce, retail, or CPG • Excellent communication and problem-solving skills.

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