
Mastering Data Engineering
2 weeks ago
About our data solutions
We empower businesses to scale and redefine possibilities with 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.
For nearly two decades, we have been a global leader in providing premium data services for the ever-evolving AI ecosystem.
From machine learning to computer vision and GenAI, we deliver solutions designed to cover the training data needs of every project.
Our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs.
Key Responsibilities:
- Build, deploy, and manage data pipelines using Python and PySpark
- Develop and optimize ETL/ELT processes to support data integration across systems
- Work directly with GCP and AWS services to implement scalable 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 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
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.
- Driven by delivery and results — you get things done efficiently
- Self-starter attitude with minimal need for hand-holding
- Excitement for automating work using GenAI or scripting tools
- Familiarity with SCD, CDC, Real-time Streaming vs Batch-processing.
Benefits:
- Experience with CI/CD pipelines and Docker
- Understanding of data governance and observability
- Prior experience in fast-paced, execution-heavy teams
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