
Data Innovator
5 days ago
Unlock the Power of AI-Driven Data Solutions
We are a global leader in providing premium data services for the ever-evolving AI ecosystem.
Our team empowers 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.
Key Responsibilities
- Design, deploy, and manage scalable data pipelines using Python and PySpark
- Develop and optimize ETL/ELT processes to support data integration across systems
- Work directly with cloud services like GCP and AWS to implement efficient cloud-based 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 automation tools to streamline development and reduce manual effort
- Proactively debug, troubleshoot, and resolve complex data engineering issues
- Ensure data is available and trustworthy for analytics and downstream systems
Required Skills & Qualifications
- Strong proficiency in Python and PySpark
- Working experience with cloud platforms like GCP and/or AWS
- Solid understanding of ETL/ELT, data warehouse and data lake concepts.
- Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non-relational databases, with a focus on MongoDB.
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