Data Engineering Manager

🕒 Abril 16

🗣️🇺🇸🇬🇧 Inglês obrigatório

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YipitData

201 - 500 funcionários

💸 Finanças

🏢 Corporativo

Finance • Enterprise • Data Analysis

YipitData é uma empresa que se especializa em fornecer insights precisos e oportunos sobre mais de 1. 000 empresas, analisando bilhões de pontos de dados todos os dias. Ela oferece pesquisas detalhadas para ajudar investidores a tomar decisões mais inteligentes e auxilia empresas a aumentar a participação de mercado, as vendas e a base de clientes. A YipitData entrega dados alternativos por meio de uma variedade de datasets, incluindo dados de recibos, dados de cartão, dados da web e resultados financeiros divulgados publicamente. Esses dados são usados para acompanhar tendências de mercado, comportamento do consumidor e categorias de produtos, permitindo às empresas obter maior transparência sobre métricas de desempenho. Seus serviços atendem a investidores, empresas e parceiros de dados, com forte foco em precisão e na entrega de dados quase em tempo real.

Descrição

• Own the design, build, and optimization of end-to-end data pipelines that power our vendor universe. • Establish and enforce best practices in data modeling, orchestration, and system reliability. • Collaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions. • Work extensively with Databricks and Airflow for large-scale data processing and orchestration. • Troubleshoot and resolve complex pipeline issues to ensure reliability and performance. • Contribute to the team’s technical strategy, helping drive improvements in scalability, performance, and efficiency. • Lead, mentor, and support engineers through challenges, code reviews, and project execution.

🎯 Requisitos

• 6+ years of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering). • 2+ years of managerial experience, including mentoring, team leadership, and supporting delivery. • Strong expertise in SQL and distributed data systems. • Proficiency with PySpark and Databricks for processing and scaling large datasets. • Hands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus). • Proven track record of delivering in fast-paced, deadline-driven environments with minimal oversight. • Strong problem-solving skills and ability to translate business needs into scalable technical solutions. • Excellent communication and collaboration skills with both technical and non-technical stakeholders.

🏖️ Benefícios

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

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