Senior Data Engineer

🕒 Junho 8

🌐 Estados Unidos, Uruguai, +2 outros países – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇺🇾 Uruguai – Remoto 🇦🇷 Argentina – Remoto 🇲🇽 México – Remoto

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 51%

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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SunnyData

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

SunnyData é uma empresa de consultoria em engenharia de dados e IA focada em Databricks que auxilia organizações a modernizar suas plataformas de dados, migrar EDWs e data lakes legados para o Databricks e operacionalizar iniciativas de IA/ML e GenAI. A empresa fornece engenheiros certificados pela Databricks, aceleradores de migração, governança de dados, MLOps e expertise de domínio para indústrias como saúde e serviços financeiros.

Descrição

• Support new and existing customers with their data engineering needs • Guide customers in making technical decisions to achieve their goals • Work across multiple customer accounts and track and report on progress • Design, build, and operationalize complex data solutions • Correct problems and apply data transformations • Recommend data cleansing and quality solutions • Analyze data sources to determine value and recommend data for analytical processes • Incorporate data governance, data security, and data quality practices • Collaborate across teams to support delivery • Educate end users on data products and analytic environments • Perform data and system analysis, assessment, and resolution for moderately complex defects and incidents • Test data movement, transformation code, and data components

🎯 Requisitos

• 5+ years of related experience in data engineering and data product development • Experience with one or more of: Spark, Hadoop, Kafka • Databricks platform experience; data engineering and/or ML ops experience is a bonus • Experience with data science and machine learning technologies such as pandas, scikit-learn, and HPO • Experience with data warehousing, including SQL, OLTP, OLAP, or DSS • Solid understanding of the end-to-end data analytics workflow • Demonstrated domain expertise and in-depth knowledge of immediate systems worked on • Proven problem-solving and debugging skills • Strong verbal and written communication skills • Intermediate leadership skills and a proven track record of self-motivation in identifying personal growth opportunities • Excellent time management and prioritization skills • Knowledge of public cloud platforms such as AWS, Azure, or GCP is a plus • Databricks Certification is nice to have • Bachelor’s Degree in a STEM-related field or equivalent • Legally authorized to work in the United States

🏖️ Benefícios

• Health insurance coverage for employees and eligible family members, including spouses, domestic partners, and children, from the first day of employment • Minimum of 15 days Paid Time Off annually • Nine paid company Holidays • Opportunities to grow technical and people skills • Opportunities to lead teams on complex, innovative customer projects • Professional development and career advancement opportunities • Innovative environment with cutting-edge technologies and industry leaders • Collaborative culture valuing collaboration and knowledge sharing • Performance-based cash incentive awards