QA Analyst, Databricks

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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

• Ensure data quality, reliability, and consistency across modern data platforms. • Validate data pipelines and implement automated quality checks. • Collaborate closely with Data Engineering and business teams to guarantee accurate and production-ready data assets. • Design and implement a data quality framework across Bronze, Silver, and Gold layers. • Build and maintain automated data quality checks within Databricks pipelines. • Own reconciliation between source systems and Databricks layers. • Validate identity resolution outputs in the Silver layer. • Perform end-to-end pipeline testing. • Partner with Data Engineers to define acceptance criteria for each sprint’s pipeline and data model deliverables. • Support UAT with client business stakeholders. • Document all QA processes, test results, and data quality findings. • Monitor pipeline health post-deployment.

🎯 Requisitos

• Experience working with Azure-based data platforms, including Databricks. • Strong understanding of data quality frameworks and testing methodologies for data pipelines. • Experience validating ETL/ELT processes and working with layered architectures (Bronze, Silver, Gold). • Strong SQL skills and experience analyzing large datasets. • Experience implementing automated data validation and reconciliation processes. • Familiarity with data pipeline monitoring, alerting, and troubleshooting. • Ability to collaborate with Data Engineers and business stakeholders. • Strong analytical thinking and attention to detail. • Experience documenting QA processes and results in a structured manner. • English: Advanced (required for effective communication with global teams).

🏖️ 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.