Sigma Software Group

1 001 – 5 000 Xodimlar

Avtomobilsozlik Konsalting Sog‘liqni saqlash

Sigma Software Group — 2002-yilda tashkil etilgan ko‘p millatli texnologik konsalting kompaniyasi. Uning jamoalari avtomobilsozlik, sog‘liqni saqlash, telekommunikatsiya, aviatsiya, bank ishi, o‘yinlar, ko‘chmas mulk va reklama kabi sohalardagi mijozlar uchun dasturiy ta’minot ishlab chiqish, grafik dizayn, testlash va texnik qo‘llab-quvvatlash xizmatlarini ko‘rsatadi. Kompaniya murakkab muhandislik loyihalarida ishlash uchun IT mutaxassislarini yollaydi hamda mentorlik va uzluksiz ta’lim orqali kasbiy rivojlanishni qo‘llab-quvvatlaydi. Masofadan ishlash imkoniyatlari kompaniyaning ish modelining bir qismi bo‘lib, loyihalar AstraZeneca, Scania va SAS kabi tashkilotlarga xizmat ko‘rsatadi.

Kompaniyadagi ish o‘rinlari

Senior/Principal Data Engineer – Brazil (Remote)

Build and evolve scalable AWS data platforms for enterprise analytics, reporting, and machine learning. Design batch and streaming pipelines while shaping architecture and mentoring data engineers.

3 kun oldin

Braziliya Masofaviy To‘liq stavka Senior Talab Qilinadigan Til: inglizcha Ma’lumotlar muhandisi

Apache AWS Bulut ETL Java Kafka Python Scala Spark SQL Taqsimlangan tizimlar

Tavsif

Build and operate secure, dependable data platforms, pipelines, and data products at scale
Lead architectural discussions covering data models, storage approaches, integration patterns, and platform evolution
Own technical solutions from design through delivery and help guide engineering and architectural decisions
Create batch and streaming data solutions with modern cloud-native technologies
Drive platform modernization efforts and ongoing technical enhancements
Define and champion engineering standards for CI/CD, testing, observability, security, and data quality
Coach Data Engineers through technical support, code reviews, and knowledge exchange
Coordinate onboarding for new team members and help them integrate into the engineering organization
Partner with Product Managers, Software Engineers, Analysts, and business stakeholders on scalable data solutions
Help shape technical roadmaps and engineering direction across teams

Talablar

Bring 5–8+ years of Software Engineering experience, including 3–5+ years working hands-on in Data Engineering
Have an Upper-Intermediate or higher level of English
Demonstrate substantial experience building and operating scalable cloud-based data platforms and pipelines
Possess advanced SQL proficiency
Understand data modeling and data architecture principles deeply
Write production-quality Python
Have hands-on experience with Apache Spark, Databricks, and Kafka
Build ETL/ELT pipelines and orchestration workflows
Bring strong AWS expertise, including cloud-native data services
Have designed modern data warehouse or lakehouse architectures
Apply strong system design and problem-solving skills
Balance business needs with technical considerations when making architecture decisions
Mentor engineers and advance sound engineering practices
Communicate and collaborate effectively with technical and business stakeholders
Experience with Scala or Java is a plus
Experience with real-time data streaming architectures is a plus
Exposure to large-scale distributed systems is a plus
Experience with observability and data quality frameworks is a plus
Experience contributing to platform modernization programs is a plus
Background in enterprise analytics or machine learning data platforms is a plus

Imtiyozlar

Work fully remotely
Pursue ongoing professional development
Take on technical leadership opportunities
Support mentoring and team development
Collaborate with engineering communities
Contribute to impactful products

O‘xshash ish o‘rinlari

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Ansible AWS Azure Bulut Docker Kubernetes Linux Mikroservislar Ochiq manba OpenShift

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Ansible Azure Go JavaScript Linux macOS Python

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Ochish

Senior/Principal Data Engineer – Brazil (Remote)

Build and evolve scalable AWS data platforms for enterprise analytics, reporting, and machine learning. Design batch and streaming pipelines while shaping architecture and mentoring data engineers.

Tavsif

Talablar

Imtiyozlar

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