Lead Data Engineer

🕒 Julho 24

🇨🇴 Colômbia – Remoto

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 25%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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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

• Design, develop, and maintain automated data pipelines and analytics solutions. • Automate manual reporting processes and repetitive data workflows. • Optimize SQL queries, data models, and processing performance. • Support production data preparation and model scoring for predictive analytics. • Monitor data quality, troubleshoot pipeline issues, and improve reliability. • Collaborate with business and technical stakeholders to deliver scalable data solutions. • Promote data engineering best practices and drive continuous improvements.

🎯 Requisitos

• Strong experience as a Data Engineer, Analytical Data Engineer, Analytics Engineer, BI Developer, Reporting Engineer, or similar role, with a proven track record of designing, automating, and delivering production reporting and analytics solutions. • SQL Server and database expertise. • Strong SQL Server development and database management skills, including writing complex queries, optimizing performance, and supporting production reporting and analytical workloads. • Ability to translate ambiguous business questions into efficient SQL solutions using joins, window functions, CTEs, and sound data modeling principles. • Proficiency in Python for automation, data processing, and analytical workflows. • Experience working with Databricks to develop, maintain, and support production data pipelines and analytics solutions. • Demonstrated experience developing reports and dashboards using Tableau or comparable BI tools. • Ability to design reporting solutions that are actively used by the business and clearly communicate the purpose and value of each report. • Experience taking recurring reporting processes from manual execution to automated production solutions. • Comfortable determining when logic belongs in SQL, Python, or another appropriate technology to build scalable and maintainable data workflows. • Experience supporting predictive model production processes, including model scoring, production data preparation, workflow scheduling, monitoring, troubleshooting, and ensuring reliable operational execution of analytical models. • Ability to interpret an undocumented Excel report, including its filters, joins, date logic, and business rules, and accurately reproduce it. • Ability to elicit requirements and business rules from report owners who understand what they need but not how it is built.

🏖️ Benefícios

• Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 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. • Mentoring and Development: Career development plans and mentorship programs to help shape your path. • Celebrations & Support: 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. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.