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5,176

Banco De Dados jobs in Brazil

Staff Technical Solutions Engineer, Platform

Menlo Ventures

São Paulo
Hybrid
BRL 120,000 - 150,000
30+ days ago
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Manager, Case Management Services

CAN Community Health

Brazil
Remote
BRL 395,000 - 422,000
30+ days ago

Staff Software Engineer

Pacifica Continental

Brazil
On-site
BRL 160,000 - 200,000
30+ days ago

Research Assistant

Howard University

Brazil
On-site
BRL 263,000 - 317,000
30+ days ago

Coordenador(a) de Operações - Cuiabá/MT

Copa Energia

Cuiabá
On-site
BRL 80,000 - 120,000
30+ days ago
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Senior Developer - SAP Globalization e-Invoicing localization

SAP SE

São Leopoldo
On-site
BRL 15,000 - 25,000
30+ days ago

Staff Data & AI Technical Solutions Engineer

Menlo Ventures

São Paulo
Hybrid
BRL 421,000 - 633,000
30+ days ago

Customer Success Engineer

Riskified

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago
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Lead Fullstack Engineer (.NET/Angular) – GovTech Solutions (Brazil)

Truelogic

São Paulo
Remote
BRL 421,000 - 633,000
30+ days ago

AI Scientist for Speech - Language Experience

SAP SE

São Leopoldo
On-site
BRL 80,000 - 120,000
30+ days ago

Página da Vaga | Analista Administrativo

Stefanini Group

São Paulo
Hybrid
BRL 80,000 - 120,000
30+ days ago

Talent Acquisition Sourcer

careerxtra

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago

Senior Technical Solutions Engineer - Platform

Menlo Ventures

São Paulo
Hybrid
BRL 120,000 - 160,000
30+ days ago

Job Page | GERENTE SERVIÇOS SAUDE - CAPS

SPDM PAIS

São Paulo
On-site
BRL 160,000 - 200,000
30+ days ago

Azure DevOps Engineer (LATAM)

Gravity IT Resources

São Paulo
Remote
BRL 421,000 - 528,000
30+ days ago

3950 - Analista de BI - Sede Administrativa

Sicredi

Goiânia
On-site
BRL 80,000 - 120,000
30+ days ago

Consultor de Implantação SAP – Belo Horizonte/MG

Skill Consultoria Empresarial

Belo Horizonte
Hybrid
BRL 120,000 - 160,000
30+ days ago

Analista Inteligência de Mercado - Uberlândia

Scanntech Brasil

Uberlândia
On-site
BRL 80,000 - 120,000
30+ days ago

Assistente de Suporte a Meios de Pagamento (Dados)

CSU BR

Belo Horizonte
On-site
BRL 20,000 - 80,000
30+ days ago

Assistente Financeiro

Madesa Móveis

Bom Princípio
On-site
BRL 20,000 - 80,000
30+ days ago

PROFESSOR ENSINO FUNDAMENTAL I

Bernoulli Docentes

Belo Horizonte
On-site
BRL 80,000 - 120,000
30+ days ago

Pessoa Supervisora De Retenção

Company Hero

São Paulo
On-site
BRL 200,000 - 250,000
30+ days ago

Coordenador(A) Administrativo De Vendas

Santillana

São Paulo
On-site
BRL 160,000 - 200,000
30+ days ago

Vendedor de veículos seminovos - Hyundai Barra Funda

Grand Brasil Concessionárias

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago

Senior Backend Engineer [BR]

Medium

São Paulo
Hybrid
BRL 422,000 - 582,000
30+ days ago

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Staff Technical Solutions Engineer, Platform
Menlo Ventures
São Paulo
Hybrid
BRL 120,000 - 150,000
Full time
30+ days ago

Job summary

A leading technology firm in São Paulo is seeking a Frontline Senior Technical Solutions Engineer to provide expert support for their Databricks Data Intelligence platform. The ideal candidate will have over 10 years of experience and strong skills in Databricks architecture and Apache Spark. Responsibilities include direct customer engagement, incident management, and performance monitoring. This position offers opportunities for career growth in an innovative environment.

Benefits

Comprehensive benefits package
Career growth opportunities
Innovative working environment

Qualifications

  • Minimum of 8 years of hands-on experience in a technical support or engineering role.
  • Experience with automated tools and CI/CD pipelines is a plus.
  • Proven experience in managing high-impact customer interactions.

Responsibilities

  • Serve as primary technical point of contact for escalated issues.
  • Engage with customers directly to understand their technical issues.
  • Lead resolution of high-priority incidents effectively.

Skills

Deep understanding of Databricks architecture and Apache Spark
Experience in cloud platforms like AWS, Azure, or GCP
Strong capabilities in designing and managing data pipelines
Proficiency in Unix/Linux administration
Exceptional verbal and written communication skills
Ability to diagnose and resolve complex technical issues

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Hadoop
Kafka
NoSQL databases
Job description
P-1412

Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.

Job Overview:

We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 10 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.

Key Responsibilities:
  • Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
  • Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
  • Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
  • Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
  • Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.
  • Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.
  • Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
  • Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.
  • Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.
Qualifications:
  • Experience: Minimum of 8 years of hands‑on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
  • Technical Skills: A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization.
  • Problem‑Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
  • Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non‑technical stakeholders.
  • Customer Focus: Proven experience in managing high‑impact customer interactions and ensuring a positive customer experience.
  • Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer‑facing teams.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.
Preferred Skills:
  • Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
  • Familiarity with automation tools and CI/CD pipelines.
  • Understanding of data governance and compliance requirements.
Why Join Us?
  • Innovative Environment: Work with cutting‑edge technology in a fast‑paced, innovative company.
  • Career Growth: Opportunities for professional development and career advancement.
  • Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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