6 дней назад
Senior/Principal Data Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Principal Data Engineer (AWS/Python/Spark): Building and scaling cloud-native data platforms and secure pipelines for analytics, machine learning, and enterprise operations with an accent on batch and streaming processing, data architecture, and platform modernization. Focus on designing scalable lakehouse and warehouse solutions, driving architecture decisions, and mentoring engineers while ensuring reliability, security, observability, and data quality.
Location: Fully remote within Latin America, Argentina, Brazil, Colombia, or Mexico
Company
Software engineering company delivering cloud-native technology solutions and supporting distributed engineering teams.
What you will do
- Design, build, and maintain scalable, secure data platforms, pipelines, and data products.
- Develop batch and streaming data solutions using AWS, Python, Apache Spark, Databricks, and Kafka.
- Drive architecture decisions covering data modeling, storage strategies, integration patterns, and platform evolution.
- Lead platform modernization and continuous technical improvement initiatives.
- Establish engineering practices for CI/CD, testing, observability, security, and data quality.
- Mentor Data Engineers, support onboarding, and collaborate with Product Managers, Analysts, Software Engineers, and business stakeholders.
Requirements
- 5–8+ years of Software Engineering experience, including 3–5+ years of hands-on Data Engineering experience.
- Upper-Intermediate English or higher required.
- Expert Python and Apache Spark skills, with strong AWS, Databricks, and Kafka experience.
- Advanced SQL knowledge and strong understanding of data modeling, data architecture, ETL/ELT, and orchestration workflows.
- Experience designing scalable data warehouses or lakehouses and operating cloud-native data platforms.
- Strong system design, problem-solving, communication, architecture, mentoring, and stakeholder management skills.
Nice to have
- Experience with Scala or Java.
- Experience with real-time streaming architectures and large-scale distributed systems.
- Exposure to observability, data quality frameworks, and platform modernization programs.
- Background in enterprise analytics or machine learning data platforms.
Culture & Benefits
- Fully remote work within the specified Latin American locations.
- Collaboration with distributed engineering teams and technical communities.
- Opportunities for continuous professional growth and technical leadership.
- Work on enterprise-scale data platforms supporting analytics, reporting, machine learning, and business operations.
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