We are looking for a Senior Trainer - Data Engineering with strong expertise in modern data platforms and AI-driven data systems. The ideal candidate will be an experienced data engineer capable of delivering advanced training on end-to-end data engineering workflows - from data ingestion and transformation to preparing high-quality datasets for AI and machine learning applications.
Requirements
- Deliver in-depth, interactive, and hands-on sessions on advanced data engineering and AI integration.
- Train and mentor learners on Distributed processing using Apache Spark and Databricks.
- Data orchestration with Airflow and CI/CD pipelines for data workflows
- Real-time streaming using Kafka and Kinesis
- Lakehouse architectures using Delta Lake, Snowflake, and cloud-native solutions
- Data preparation for AI/ML pipelines, including feature engineering and dataset versioning
- Working with MLflow, Databricks AutoML, and AI/ML integrations on cloud platforms
- Implementing data governance, lineage, and monitoring best practices
- Guide learners through AI-ready data engineering projects, combining data pipelines with model development and deployment.
- Collaborate with curriculum designers to integrate emerging AI and data science tools (e.g., Vector Databases, MLOps frameworks) into the training modules.
- Conduct performance evaluations, code reviews, and one-on-one learner mentoring sessions.
- Stay current with AI trends, modern data infrastructure, and cloud-native innovations to continuously enrich the training experience.
Benefits
- Health and medical insurance
