Senior Big Data Software Engineer (Python, AWS)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Big Data Software Engineer (Python/AWS): Building and optimizing scalable cloud-based data solutions and processing pipelines with an accent on data ingestion, transformation, and analytics. Focus on designing robust data platforms, implementing batch and streaming workflows, and integrating AI-related initiatives within a distributed team environment.
Location: Must be based in Mexico (Remote/Hybrid)
Company
is a global digital solutions company providing software development and consulting services.
What you will do
- Design, develop, and maintain scalable data processing pipelines and cloud-based data solutions on AWS.
- Build and optimize data workflows using Python and SQL.
- Develop solutions supporting large-scale data ingestion, transformation, and analytics workloads.
- Collaborate with technical and business stakeholders to deliver effective data solutions.
- Support batch and streaming data processing initiatives across different data domains.
- Participate in architecture discussions and contribute to continuous improvement of data platforms.
Requirements
- 5+ years of experience in Data Engineering, Big Data, or related fields.
- Strong proficiency in Python and SQL.
- Hands-on experience developing data solutions on AWS cloud platform.
- Experience designing and building scalable data pipelines.
- Knowledge of batch and streaming data processing concepts.
- Upper-intermediate or higher level of English.
Nice to have
- Experience with video, image, or audio processing pipelines for AI applications.
- Experience with IoT data platforms and data processing solutions.
- Familiarity with NVIDIA technologies, GPU-accelerated computing, or AI infrastructure.
Culture & Benefits
- Opportunities to work with emerging technologies and experiment with new approaches.
- Collaborative environment within distributed teams.
- Focus on innovation and continuous professional development.
- Equal opportunity employer committed to diversity and inclusion.
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