Data Engineer

🕒 Julho 25

🏄 California – Remoto

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💵 $135.700 - $152.650 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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👻 Score fantasma 15%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Liquidity Services

Liquidity Services

501 - 1000 funcionários

Fundada em 1999

📦 Logística

🏪 Marketplace

🛍️ Comércio Eletrônico

Logistics • Marketplace • eCommerce

A Liquidity Services é um marketplace online e empresa de recuperação de ativos que ajuda organizações a monetizar ativos excedentes, devolvidos, obsoletos e usados por meio de leilões, vendas diretas e serviços de liquidação gerenciada. A empresa oferece soluções para os setores industrial, varejista e governamental, incluindo avaliação de ativos, gestão de devoluções, autoatendimento para vendedores de e-commerce e marketing para maximizar a recuperação em centenas de categorias de ativos. A Liquidity Services opera múltiplos marketplaces e plataformas, atendendo milhares de vendedores e milhões de compradores em todo o mundo para converter ativos excedentes em dinheiro.

Descrição

• Design, develop, and maintain data pipelines to process and transform large volumes of data efficiently. • Normalize and aggregate data across multiple cloud platforms, including AWS, Azure, and Google BigQuery. • Leverages APIs for data access and integration with internal and external systems. • Work with web and transactional data to support analytics and business intelligence initiatives. • Ensure data quality, integrity, and security across all stages of the data lifecycle. • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. • Optimize data workflows for performance and cost efficiency in cloud environments.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, or related field • Minimum of 8+ years of experience working in a large-scale organization • Proven experience with AWS, Azure, and BigQuery for data storage and processing. • Strong proficiency in SQL, Python, and data transformation tools is a must. • Hands-on experience in building ETL pipelines, data orchestration frameworks, and RESTful APIs. • Experience handling large-scale datasets and optimizing data workflows. • Familiarity with e-commerce industry data, including web analytics and transactional data. • Knowledge of data modeling, normalization, and aggregation techniques. • Experience with distributed systems and big data technologies (e.g., Spark, Redshift, Hadoop). • Solid understanding of data governance, security, and compliance in cloud environments. • Exposure to real-time data processing and streaming platforms (e.g., Kafka).

🏖️ Benefícios

• Competitive wages • Healthcare (medical, dental, vision, prescription drugs, FSAs) • 401(k) plan • Paid time off (PTO) and holidays • Paid parental leave • Life and disability insurance • Employee Assistance Program (EAP) • Professional development and tuition assistance

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