Data Engineering Instructor
Core
Deliver technical training and mentorship in Data Engineering, guiding learners in building scalable ETL/ELT pipelines and cloud-based data solutions.
Role type
Data Engineering Instructor
Builds
Industry-ready data engineering talent via the AmaliTech Apprenticeship Program
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (Pandas, NumPy, PySpark), SQL, Apache Airflow, Apache Spark, Apache Kafka, AWS data services (S3, Glue, Redshift, Kinesis, Lambda, DynamoDB, Step Functions, Athena), Microsoft Power BI (DAX, Power Query, data modeling), Microsoft Fabric (Lakehouse, Data Factory, Spark Notebooks, OneLake), ETL/ELT patterns, Lakehouse architecture, Delta Lake, Change Data Capture (CDC), CI/CD pipelines, GitHub Actions
Preferred skills
AWS Certifications, Microsoft Certifications, Data Science or Machine Learning concepts (scikit-learn, model evaluation)
Technologies
Python, SQL, Apache Airflow, Apache Spark, Apache Kafka, AWS, Microsoft Power BI, Microsoft Fabric, GitHub Actions
Responsibilities
Deliver engaging technical training and mentorship in Data Engineering; Guide trainees in designing, building, and managing scalable ETL/ELT pipelines and cloud-based data solutions; Support learners in data visualization and business intelligence development using Power BI; Assess, grade, and validate trainee projects, assignments, and technical assessments; Mentor trainees on best practices in data governance, CI/CD workflows, and lakehouse architectures; Collaborate with internal technical teams to continuously improve curriculum content and learning outcomes
Seniority
Mid-level, hands-on IC
