Dataengineering Trainer

Technical Trainer Data Engineering

Role & Responsibilities:

• Deliver engaging, hands-on training in Data Engineering, Python, SQL, PySpark, Databricks, and modern data platforms.
• Teach concepts such as ETL/ELT, data pipelines, data warehousing, data lakes, batch/stream processing, and data modeling.
• Conduct live coding, practical exercises, doubt-clearing sessions, and technical workshops.
• Guide students through real-world Data Engineering projects, debugging, optimization, and industry best practices.
• Develop training materials, assignments, assessments, and project-based learning activities.
• Mentor students and provide technical feedback to help them become job-ready Data Engineers.
• Stay updated with current Data Engineering tools, technologies, and industry practices.

Preferred Candidate Profile

• Strong hands-on knowledge of Python, SQL, PySpark/Apache Spark, and Databricks.
• Experience with AWS, Azure, or GCP and modern data tools such as Airflow, Kafka, Snowflake, Delta Lake, or dbt is an advantage.
• Industry experience as a Data Engineer / Senior Data Engineer / Big Data Engineer / Data Platform Engineer is preferred.
• Prior experience in technical training, mentoring, or teaching is an advantage.
• Strong communication and presentation skills with the ability to simplify complex technical concepts.
• Comfortable with live coding, project mentoring, debugging, and practical problem-solving.
• Passionate about teaching and helping students develop practical, industry-ready skills.