Data Engineer

🕒 Maio 18

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Stord

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2015

☁️ SaaS

🚗 Transporte

🛍️ Comércio Eletrônico

SaaS • Transport • eCommerce

A Stord é uma empresa de cadeia de suprimentos em nuvem que combina operações de rede de atendimento com SaaS integrado (OMS/WMS) para impulsionar marcas de e-commerce omnichannel e DTC. Ela oferece serviços de armazenagem, última milha e transporte, roteamento de pedidos, gerenciamento de inventário e ferramentas de entrega voltadas para o consumidor para melhorar a conversão, acelerar o atendimento e proteger a experiência da marca. A Stord atende marcas crescentes B2B e diretas ao consumidor nos setores de alimentos e bebidas, beleza, vestuário e outras categorias de varejo, oferecendo uma rede de atendimento personalizável e uma plataforma de software para otimizar custos e desempenho de entrega.

Descrição

• Design, develop, and maintain scalable and reliable data pipelines using modern data engineering tools and technologies • Help drive the re-architecture of our data warehouse to improve performance, scalability, and data quality • Implement data cleansing, transformation, and validation processes to ensure data accuracy and consistency • Collaborate with other engineers and stakeholders to define data requirements and develop data models • Build and maintain data infrastructure on GCP, including data lakes, data warehouses, and data pipelines • Optimize data storage and retrieval for performance and cost efficiency • Monitor data pipeline performance and troubleshoot issues • Implement data security and governance best practices • Prepare and transform data for machine learning models, ensuring data quality and consistency • Enable data access for machine learning algorithms and tools • Assist with basic data analysis and reporting tasks to support the AI team • Work with the engineering team to support ML models • Provide technical guidance and mentorship to the data team • Foster a culture of innovation and collaboration within the data team • Collaborate with cross-functional teams to integrate ML solutions into the Stord platform • Drive data democratization and promote data-driven decision-making

🎯 Requisitos

• 5+ years of experience in data engineering or a related field • Proven experience building and maintaining data pipelines and data warehouses • Experience with cloud platforms, preferably GCP • Experience with SQL and data modeling • Experience with data transformation tools such as dbt, or similar • Strong proficiency in SQL and Python • Experience with data pipeline tools (e.g., Apache Airflow, Prefect, or similar) • Experience with data warehousing technologies (e.g., BigQuery, Snowflake) • Familiarity with data lake concepts and technologies • Understanding of data engineering best practices • Understanding of basic machine learning concepts, data preparation techniques, and model evaluation • Experience with version control systems (e.g., Git)

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options • Equipment allowances • Wellness programs