Data Engineer Manager

🕒 Julho 22

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Blend360

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🏥 Saúde

🏨 Hospitalidade

✈️ Turismo

💰 $100.000.000 Private Equity Round em 2022-08

Healthcare • Hospitality • Travel

A Blend360 é uma empresa de serviços profissionais especializada em soluções de IA, análise de dados e soluções orientadas por dados. Eles trabalham com empresas da Fortune 1000 e grandes marcas empresariais para enfrentar desafios significativos, integrando pessoas e inteligência artificial. A Blend360 foca em vários domínios, incluindo inteligência de negócios, engenharia de dados, ciência de dados, MLOps e governança de dados. Suas indústrias de expertise englobam serviços financeiros, energia, saúde e ciências da vida, varejo, tecnologia, mídia & telecomunicações e viagens & hospitalidade. A Blend360 é reconhecida por suas soluções de IA e dados, tendo recebido prêmios como "Solução do Ano em Capacitação de IA" e sendo listada entre os "Principais Provedores de Serviços de IA Generativa de 2024.

Descrição

• Lead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards. • Define and drive the technical strategy for Journey Analytics data platforms, ensuring scalability, maintainability, and performance. • Oversee the maintenance, optimization, and automation of code repositories in GitHub, ensuring high-quality and consistent development practices. • Guide the refactoring of legacy codebases to improve maintainability, scalability, and reusability across multiple use cases. • Drive the design and implementation of modular, reusable data components to support multiple journeys and reduce duplication. • Oversee the development and management of automated data pipelines in Databricks, ensuring reliability and scalability for downstream consumption. • Establish and enforce standards for scalable data modeling to support current and future analytics use cases. • Ensure data quality, governance, performance, and reliability across all data pipelines and datasets. • Partner with analytics, product, and engineering stakeholders to align data solutions with business needs and priorities. • Proactively identify risks, bottlenecks, and improvement opportunities, and drive mitigation strategies at a team and platform level. • Promote continuous improvement of data processes, documentation, and engineering practices.

🎯 Requisitos

• 7+ years of experience in Data Engineering. • Strong experience working with GitHub repositories and version control workflows. • Hands-on experience developing and maintaining data pipelines in Databricks. • Proven experience refactoring and maintaining legacy codebases. • Strong understanding of data modeling and reusable component design. • Experience building scalable data models for analytics and reporting use cases. • Strong focus on data quality, performance, and reliability. • Ability to work in cross-functional environments and contribute to continuous improvement. • Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision. • Experience using Genie (Databricks) (Plus).

🏖️ Benefícios

• Access to AI learning paths to stay up to date with the latest technologies. • Study plans, courses, and additional certifications tailored to your role. • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. • English lessons to support your professional communication. • Travel opportunities to attend industry conferences and meet clients. • Career development plans and mentorship programs to help shape your path. • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. • Company-provided equipment. • Flexible working options to help you strike the right balance. • Other benefits may vary according to your location in LATAM.