Lead Data Engineer

🕒 Julho 24

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

Python

SQL

Tableau

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Logo of Blend360

Blend360

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. • A disciplined approach to reconciling output against a baseline until every discrepancy is explained. • 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.

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