Data engineering Trainer (Tamil speaking preferred)

Data Engineer Trainer

Job Type: Full-time / Part-time
Experience: 2+ years of experience in Data Engineering, training, or consulting
Location: Remote

Job Summary

We are looking for an experienced Data Engineer Trainer to deliver practical, project-oriented training to students and working professionals. The ideal candidate should have strong hands-on experience in data engineering technologies and be able to explain technical concepts through real-world projects and industry use cases.

Key Responsibilities

• Conduct Data Engineering training sessions for beginners and experienced professionals.
• Develop structured lesson plans, presentations, hands-on exercises, and project assignments.
• Provide practical training using real-world data engineering scenarios.
• Cover key topics including:
• Data Engineering Fundamentals
• SQL and Advanced SQL
• Python for Data Engineering
• Data Modeling and Database Concepts
• ETL/ELT Processes
• Data Warehousing
• Data Pipelines and Workflow Orchestration
• Apache Spark / PySpark
• Databricks
• Apache Airflow
• Data Lakes and Lakehouse Architecture
• Cloud Data Engineering
• AWS / Azure / Google Cloud data services
• Data Integration and Transformation
• Batch and Streaming Data Processing
• Data Quality and Data Validation
• Performance Optimization
• Git and Version Control
• CI/CD concepts for Data Engineering
• Provide hands-on coding exercises and real-time projects.
• Explain end-to-end data pipeline development and deployment.
• Demonstrate troubleshooting, debugging, and performance optimization techniques.
• Guide learners through portfolio projects and practical assignments.
• Assess learner progress and provide constructive feedback.
• Prepare learners for technical interviews and relevant certifications where required.

Requirements

• Strong hands-on experience in Data Engineering.
• Prior experience as a Data Engineer, Trainer, Consultant, or Technical Instructor.
• Strong proficiency in SQL and Python.
• Good knowledge of ETL/ELT, data warehousing, data modeling, and data pipelines.
• Hands-on experience with Apache Spark/PySpark.
• Experience with cloud data platforms such as AWS, Azure, or GCP.
• Knowledge of data orchestration tools such as Apache Airflow.
• Experience with Databricks or similar data platforms is preferred.
• Excellent communication and presentation skills.
• Ability to explain complex technical concepts in a simple and practical manner.
• Real-time project experience is highly preferred.

Preferred Skills

• Experience with AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of technologies such as Databricks, Snowflake, Kafka, Airflow, Spark, and Delta Lake.
• Experience with data lake and lakehouse architectures.
• Knowledge of streaming and real-time data processing.
• Experience with Docker and Kubernetes is an advantage.
• Knowledge of DevOps and CI/CD practices is a plus.
• Experience training working professionals and corporate teams is preferred.

What We Offer

• Competitive compensation based on experience and expertise.
• Flexible training schedules.
• Remote/online training opportunities.
• Long-term engagement opportunities for successful trainers.
• Opportunity to train professionals using real-world Data Engineering projects.

Pay: ₹509,901.12 - ₹1,872,696.25 per year

Work Location: Remote