🚀 LAUNCHING COHORT 01 – DATA ENGINEERING INTENSIVE 🚀

Data Engineering Intensive is officially launched at Career Mentor!

This course is designed for individuals who want to build a solid, hands-on foundation in Data Engineering, targeting roles such as Data Engineer, Data Platform Engineer, or Data Solution Architect in Australia and globally.

💡 This is Career Mentor’s flagship Data Engineering course, designed with a structured and intensive approach, combining foundational knowledge – practical tools – project portfolio – and mentoring from experts currently working in the international market.

Highlights of Data Engineering Intensive K1:

• A comprehensive curriculum from basic to advanced, covering all essential knowledge in data platforms, pipelines, cloud infrastructure, transformation & modelling.

• Project-based learning: from building a pipeline to ingest data from an API → transform → load into AWS S3 → design cloud infrastructure & CI/CD system.

• Exposure to the AWS ecosystem (S3, Glue, Athena, Lambda, CloudFormation, Redshift…)

• Practical use of Python, Apache Spark, Advanced SQL, dbt, etc., in real-world projects.

• 1-on-1 mentoring and continuous feedback, helping build a personal portfolio and guide your career direction.

• Stay updated with Data Engineer hiring trends in Australia through Career Mentor’s Career Pathway segment.

💼 Integrated Real-World Projects

Throughout the course, learners will work on at least 4 practical projects, including:

• Data Pipeline: ingest, transform, load, and validate data

• Cloud Data Platform: set up data storage and retrieval systems on AWS

• Advanced Data Modelling & SQL

• Dbt Workflow: from modelling to documentation

All projects are integrated into each class session as assignments – helping you practice consistently and develop real-world outputs to include in your portfolio.

🧰 Tools & Technologies Covered:

• AWS: S3, Glue, Athena, Lambda, IAM, CloudFormation, Step Functions

• ETL Tools: Python, Pandas, Apache Airflow, Awswrangler, dbt

• Data Modelling & SQL: Snowflake/Redshift/Databricks SQL, draw.io, dbdiagram.io

• Transformation Engines: Spark, dbt, Python, SQL

• Orchestration & CI/CD: Airflow, Step Functions, CloudFormation, GitHub Actions

• Visualization & Monitoring: Logging, Metrics, Alerts

📅 Course Schedule

• Duration: 32 sessions

• Start Date: Saturday, 30/08/2025

• Class Days: Every Wednesday & Saturday

• Time: 8:00 PM – 10:00 PM (Sydney/Melbourne time)

🎯 Get ready to enter the real world of Data Engineering!
Register now to seize this opportunity and grow your career with Career Mentor!