AI Data Engineer
Tasks
- Automate error handling and recovery
- Build and manage scalable data pipelines
- Collaborate with AI ML teams on dataset requirements
- Deploy AI/ML models in production
- Design data pipelines for AI/ML
- Document data processes schemas and infrastructure
- Ensure data quality consistency governance security
- Implement ETL/ELT processes
- Integrate structured and unstructured data sources
- Monitor pipeline performance reliability
- Optimize data storage and retrieval
- Process data with Spark Hadoop Kafka
Perks/Benefits
- Accommodation
- Expense reimbursements for home visits
- Flight tickets
- Holiday bonuses
- IPhone
- MacBook
- Meal allowances
- Medical insurance
- Visa sponsorship
Skills/Tech-stack
AWS | Apache Airflow | Azure | BigQuery | CI/CD | Databricks | Docker | ELT | ETL | Flink | GCP | Hadoop | Java | Kafka | MLflow | NoSQL | Prefect | PyTorch | Python | Redshift | S3 | SQL | Scala | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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