
Data Architecture Specialist
13 hours ago
About Us
We partner with innovative brands to empower businesses through integrated customer experience and cutting-edge digital solutions.
Our expertise spans digital transformation, AI-driven consulting, IT lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and exceptional service.
Achieving Data Maturity: Shaping the Future of AI
We've been a global leader in providing premium data services for nearly two decades.
From machine learning to computer vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train, and improve AI models.
We deliver solutions designed to cover the training data needs of every project. From custom data collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs.
About the RoleWe're looking for a hands-on, action-oriented Data Engineer who thrives on execution and collaboration.
This role is perfect for someone who enjoys building robust data pipelines and delivering scalable solutions that directly impact business growth.
Key Responsibilities:
- Design, deploy, and manage data pipelines using Python and PySpark.
- Develop and optimize ETL/ELT processes to support data integration across systems.
- Work directly with cloud-based services to implement scalable data solutions.
- Own data workflows end-to-end — from ingestion to transformation to storage.
- Continuously monitor and improve pipeline reliability, speed, and data quality.
- Use GenAI and automation tools to speed up development and reduce manual effort.
- Proactively debug, troubleshoot, and resolve data engineering issues.
- Ensure data is available and trustworthy for analytics and downstream systems.
- Deliver high-quality code and documentation with a bias for action.
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