Senior Big Data Engineer (Python, AWS)

TL;DR

Senior Big Data Engineer (Python/AWS): Building scalable cloud-based data solutions and data processing pipelines on AWS with an accent on large-scale ingestion, transformation, and analytics workloads. Focus on designing reliable data platforms, optimizing Python/SQL workflows, and implementing batch and streaming processing.

Location: Must be based in Mexico (Remote/Office)

Company

hirify.global is a global provider of software development and digital transformation services with a focus on innovation and emerging technologies.

What you will do

• Design, develop, and maintain scalable data processing pipelines and cloud-based solutions on AWS.
• Build and optimize data workflows using Python and SQL for large-scale ingestion and analytics.
• Support both batch and streaming data processing initiatives across various data domains.
• Collaborate with technical and business stakeholders to define requirements and deliver effective data solutions.
• Contribute to architecture discussions and the full project lifecycle, from discovery and prototyping to production implementation.
• Evaluate emerging technologies and frameworks to improve system efficiency and solution quality.

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 the AWS cloud platform.
• Knowledge of batch and streaming data processing concepts.
• English: Upper-intermediate (B2) or higher.
• Location: Must be based in Mexico.

Nice to have

• Experience with video, image, or audio processing pipelines for AI applications.
• Experience with IoT data platforms and processing solutions.
• Familiarity with NVIDIA technologies, GPU-accelerated computing, or AI infrastructure.

Culture & Benefits

• Work in a fast-paced, innovation-driven environment focused on AI and modern data initiatives.
• Opportunity to experiment with new approaches and emerging technologies to solve complex data challenges.
• Collaborative culture with distributed teams and a strong emphasis on knowledge sharing.
• Equal opportunity employer commitment to diversity and inclusion.