We are looking for a passionate and experienced Data Engineer Trainer to design, develop, and deliver high-quality learning content in Data Engineering and Up-to-date Data Platforms. The ideal candidate should possess strong technical expertise in Python, SQL, NoSQL databases, Big Data technologies, Cloud Data Engineering, Data Warehousing, Data Lakes, ETL/ELT processes, and modern data transformation tools.

The Trainer will be responsible for curriculum development, content creation, instructor-led training, hands-on lab development, assessment design, and supporting academic institutions and corporate learning initiatives. The role requires excellent communication skills, strong industry knowledge, and a passion for mentoring engineering students and working professionals.

Key Responsibilities

- Design and develop industry-aligned curriculum and learning paths in Data Engineering.
- Create engaging training materials including presentations, lab manuals, coding exercises, assignments, case studies, and projects.
- Deliver instructor-led classroom and virtual training sessions.
- Mentor students during hands-on labs, capstone projects, and hackathons.
- Develop practical assessments, coding challenges, and evaluation rubrics.
- Review and continuously enhance existing learning content based on industry trends.
- Collaborate with instructional designers and academic partners to improve learner outcomes.
- Provide technical guidance to trainers and support faculty enablement programs.
- Design and develop real-world projects on ETL, Data Lakes, Data Warehouses, Big Data, and Cloud Data Engineering.
- Stay updated with emerging Data Engineering technologies and integrate them into the curriculum.

Required Technical Skills Programming & Databases

- Python Programming for Data Management, OOPS
- Advanced SQL
- NoSQL Databases (MongoDB, Cassandra, DynamoDB)





Data Engineering

- ETL/ELT Development and Data Integration
- Data Pipeline Design and Optimization
- Data Warehousing and Dimensional Modeling
- Data Lake and Lakehouse Architectures

Big Data Technologies

- Hadoop Ecosystem
- Apache Spark / PySpark
- Kafka and Distributed Data Processing

Data Engineering Tools

- Databricks
- Snowflake
- Apache Airflow
- Data Transformation and Orchestration Tools

Cloud Data Platforms

- Azure Data Factory, Azure Databricks, Synapse Analytics
- AWS Glue, EMR, Redshift
- GCP BigQuery, Dataflow, Dataproc

Preferred Skills

- Docker and Kubernetes
- Git and GitHub
- REST APIs
- DataOps and CI/CD Concepts
- Power BI or Tableau
- Delta Lake and Apache Iceberg
- Data Governance and Data Quality Concepts

Educational Qualification

- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field.
- Candidates with a Bachelor of Engineering (B.E./B.Tech.), Master of Engineering(M.E./M.Tech), equivalent qualifications are encouraged to apply.

Preferred Experience

- Experience in EdTech, higher education, or corporate training.
- Experience delivering Data Engineering training to engineering students or working professionals.
- Experience creating project-based learning content and technical assessments.
- Hands-on industry experience as a Data Engineer, Big Data Engineer, Cloud Data Engineer, or Data Platform Engineer.
- Experience with Databricks, Snowflake, and Cloud Data Engineering services.
- Experience with Learning Management Systems (LMS) is an added advantage.

Key Deliverables

- Curriculum and syllabus design for Data Engineering programs
- Instructor presentations
- Lab manuals and coding exercises
- Assignments and assessments
- Capstone projects
- Question banks and evaluation rubrics
- Faculty enablement sessions
- Student mentoring and technical support

📌 IT Trainer - Data Engineering (Chennai)
🏢 Lu0026T EduTech (Lu0026T)
📍 Chennai