Data Engineering Instructor

Job Summary

The Data Engineering Instructor will support both the Training Centre and Service Centre by delivering high-quality technical training, mentoring trainees, and contributing to the development of skilled data engineering professionals.

The role is part of the AmaliTech Apprenticeship Program (AAP), which prepares learners for real-world industry roles through structured, hands-on learning experiences.

The instructor will focus on the Data Engineering track, ensuring trainees gain practical skills aligned with global industry standards.

Key Responsibilities

• Deliver technical training and mentorship in Data Engineering, including Python, SQL, Apache Spark, Kafka, Airflow, and modern data engineering systems.
• Guide trainees in building scalable ETL/ELT pipelines and cloud-based data solutions using AWS and Microsoft Fabric.
• Support learners in business intelligence and data visualization using Power BI, including dashboards, DAX, Power Query, and data modeling.
• Assess and evaluate trainee assignments, projects, and exams to ensure competency and industry readiness.
• Mentor trainees on data governance, CI/CD pipelines, GitHub workflows, Delta Lake, and lakehouse architecture concepts.
• Collaborate with internal teams to improve curriculum design, training materials, and learning outcomes.
• Promote a practical, project-based learning environment that encourages innovation, teamwork, and problem-solving.

Required Qualifications and Experience

• Minimum of 2 years of professional experience in Data Engineering or related fields.
• Strong proficiency in Python (Pandas, NumPy, PySpark) and SQL.
• Hands-on experience with Apache Airflow, Apache Spark, and Apache Kafka.
• Experience with AWS data services including S3, Glue, Redshift, Kinesis, Lambda, DynamoDB, Step Functions, and Athena.
• Experience with Microsoft Power BI including dashboards, DAX, Power Query, and data modeling.
• Knowledge of Microsoft Fabric including Lakehouse, Data Factory, Spark Notebooks, and OneLake.
• Understanding of ETL/ELT processes, data modeling, schema design, lakehouse architecture, CDC, and data governance.
• Experience with CI/CD pipelines and GitHub Actions for data workflows.
• Previous teaching, mentoring, or training experience is an advantage.

Nice to Have

• AWS certifications (e.g., Data Engineer Associate, Solutions Architect).
• Microsoft certifications (e.g., PL-300, DP-700).
• Exposure to Data Science or Machine Learning concepts such as scikit-learn and model evaluation.

Soft Skills

• Ability to explain complex technical concepts clearly to learners of different levels.
• Strong communication, facilitation, and classroom management skills.
• Comfortable in hands-on, project-based learning environments.
• Fast learner with strong adaptability and problem-solving ability.
• Strong collaboration skills, especially in cross-cultural and international teams.
• Good organizational and time management skills.

Skills Required:

• Computer / Software / It / Data