Secure your next role or promotion in as little as 4 weeks
Hosted by Lewis Gavin - Data Architect @ easyfundraising.org.uk
Career course designed specifically for data engineers
Course content sent to you each week with templates and guides:
Plan your career
Interview practice (with feedback from me)
Skill gap analysis
Path to data architect
Technical roadmap of skills I would recommend learning
Exclusive slack group with other data engineers like you! I’ll also be there to answer any of your questions during and after the course.
100% refund if the course doesn’t work for you
Course starts 15th May 2024
Still not convinced? Try the 1st Week 👇
Course Contents
Week 1: Assess and Plan Your Career Move
Learn About Data Engineering Career Paths
Self-Assessment and Goal Setting
Defining Your Ideal Career Path
Week 2: Skill Gap Analysis and Roadmap Development
Understanding Industry Trends and Skill Demands
Assessing Your Current Skill Set
Developing a Training Roadmap To Land Your Next Role
Week 3: Interview Preparation
Understanding the Data Engineering Interview Process
Technical Interview Practice
Behavioral Interview Preparation
Negotiation Strategies
Complete mock interviews and receive feedback from me.
Week 4: Advanced Topics
Landing Your Next Role
Advanced Data Engineering Concepts You Should Learn
Future Proofing Yourself As A Data Engineer
Technologies
It is expected that applicants have a basic understanding of SQL, Python and basic database skills.
This course will mostly focus on AWS technologies but the skills you learn will be applicable to any cloud provider.
The course will also talk about the following concepts and technologies:
Pandas
Apache Spark
Apache Kafka
Apache Airflow
Amazon Redshift
MySQL
Data Lakes and Data Warehouses
Data Modelling techniques such as normalization/denormalization
Amazon SageMaker
Amazon Q
OpenAI
Amazon Quicksight
"I was seeking someone who is in a position I would like to be in, and Lewis met the criteria. He has shared with me very important insights on how to evolve in the data engineering world.
With his help, I have been able to improve my skills and become more valuable at work."
Doriel
"Lewis had extremely valuable insights into how to approach problems faced by those in the world of data, and was able to provide both technical help, as well as help when dealing with stakeholders. I wouldn't hesitate to recommend Lewis"
Lachlan
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