Data Engineer

Vista Applied Solutions Group Inc; Jaboatão dos Guararapes; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology solutions company is seeking a Data Engineer to enhance data pipeline resilience and operational stability. The role involves designing support technologies, performing statistical analysis, and collaborating with a global team. Ideal candidates should have strong skills in SQL, scripting languages like Python, and experience with GCP technologies. A degree in Engineering or Computer Science is required, along with soft skills including organization and proactivity. Knowledge of data governance and BI tools is a plus.

Qualificações

• Organized, proactive, curious with a strong sense of ownership.
• Experience in designing and implementing monitoring and alerting solutions.
• Familiarity with data governance platforms (e.g., Collibra) and transformation tools (e.g., Dataform).

Responsabilidades

• Design, develop, and integrate production support technologies.
• Identify vulnerabilities and implement solutions to enhance pipeline resilience.
• Conduct in-depth statistical analysis of pipeline performance.

Conhecimentos

Proficiency in SQL

Scripting languages (e.g., Python)

Data pipeline reliability engineering

Systems support

Multilingual (English/Spanish/Portuguese)

Formação académica

Degree in Engineering or Computer Science

Ferramentas

GCP data technologies (e.g., BigQuery, Dataflow)

Monitoring tools (e.g., Grafana, Cloud Monitoring)

Business intelligence tools (e.g., Looker, Power BI, Tableau)

Descrição da oferta de emprego

Job Summary

We are seeking a Data Engineer to enhance the resilience and operational stability of our data pipelines, from factory floor to cloud repositories. This critical role will focus on building robust monitoring and support systems, and on accelerating our ability to understand and resolve system and pipeline breakdowns.

Responsibilities

• Design, develop, and integrate production support technologies and systems to improve data pipeline reliability.
• Proactively identify vulnerabilities and implement systemic process oriented solutions to enhance pipeline resilience.
• Develop and apply advanced analytics for proactive pipeline monitoring, anomaly detection, and performance optimization.
• Conduct in-depth statistical analysis of pipeline performance, incident data, and root causes to drive continuous improvement.
• Prepare and maintain comprehensive reports and dashboards with key performance indicators (KPIs) for measuring system and pipeline resiliency.
• Collaborate with global team of data analysts, engineers, and leaders to rapidly troubleshoot and resolve data pipeline issues.
• Interface with corporate areas, preparing technical documentation, reports, and presentations on pipeline health and improvements.
• Maintain accurate and up-to-date documentation for systems, processes, and troubleshooting guides.
• Assist in meeting data environment governance requirements, specifically related to pipeline data quality and integrity.

Knowledge and Technical Competencies

Soft skills: Organized, proactive, curious, sense of urgency and prioritization, and a strong feeling of ownership.

Technical expertise: Proven experience in systems support, data pipelines, database reliability engineering, and IT production support. Strong background in designing and implementing monitoring, alerting, and logging solutions.

Technical Skills: Proficiency in SQL (queries) and a scripting language (e.g., Python) for data analysis and automation. Hands‑on experience with GCP data technologies (e.g., BigQuery, Dataflow) and monitoring tools (e.g., Grafana, Cloud Monitoring). Familiarity with business intelligence tools (e.g., Looker, Power BI, Tableau) for dashboarding.

Desired qualifications: Knowledge of process industry KPIs. Familiarity with data governance platforms (e.g., Collibra) and data transformation tools (e.g., Dataform). Multilingual English / Spanish / Portuguese would be a plus. Experience with Production Support would be a plus.

Background: Degree in Engineering or Computer Science.