प्रतिभा हायर करें
Data Engineer हायर करें
Engineers who build and maintain the data infrastructure that powers AI and analytics systems. They design data pipelines, warehouses, and ETL processes to ensure clean, reliable data for ML models.
$10-15/hr से शुरू48 घंटे में मिलानसत्यापित पेशेवर
मुख्य कौशल
AI10 प्लेटफ़ॉर्म पर हर Data Engineer इन आवश्यक दक्षताओं के लिए सत्यापित है।
ETL/ELT Pipeline Development
SQL & NoSQL Databases
Apache Spark & Airflow
Data Quality & Governance
मूल्य निर्धारण
शीर्ष AI प्रतिभा के लिए पारदर्शी, किफायती मूल्य।
शुरू
$10-15/hr
- सत्यापित और परीक्षित पेशेवर
- लचीला प्रति घंटा या प्रोजेक्ट-आधारित
- 48 घंटे में प्रतिभा मिलान
- समर्पित प्रोजेक्ट प्रबंधन
- रिप्लेसमेंट गारंटी
अक्सर पूछे जाने वाले प्रश्न
अक्सर पूछे जाने वाले प्रश्न
Why do I need a Data Engineer for AI projects?
AI models are only as good as their data. Data Engineers build the pipelines that collect, clean, transform, and deliver data to ML systems. Without reliable data infrastructure, even the best models produce unreliable results. Data engineering is typically 60-70% of AI project effort.
What data infrastructure can your engineers build?
ETL/ELT pipelines, data warehouses (Snowflake, BigQuery, Redshift), real-time streaming (Kafka, Kinesis), data lakes, feature stores, and data quality monitoring systems. They design infrastructure that scales with your data volume and AI ambitions.
Can Data Engineers work with messy, unstructured data?
Yes. Our engineers handle CSV files, API integrations, database migrations, PDF extraction, web scraping, and IoT sensor data. They build robust pipelines with data validation, error handling, and quality checks at every stage.
How do Data Engineers support ongoing ML operations?
They build automated feature pipelines that continuously transform raw data into ML-ready features, implement data drift monitoring, and ensure training and serving data consistency — the backbone of reliable ML in production.