Data Engineering Bootcamp

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Data Engineering Bootcamp

About this course

The Data Engineering Bootcamp will help IT professionals to better understand architecture design, develop implementation plans, and apply best practices for projects involving data and its transformations. By joining this program, participants will develop new skills and learn Wizeline's best practices for confidently creating and implementing an end-to-end cloud data solution. 

Our Training Model

We believe in the power of learning by doing, along with the value of getting advice and support from professionals with experience in the industry. Our bootcamp model is built on three main pillars: 

Learning Model

General Information and Dates

  • Duration: 9 weeks
  • Time commitment: approx. 10 hours per week 
  • Live sessions
  • Self-paced learning: available 24/7

Why You Should Apply

  • Learn the basic day-to-day tools used by a data engineer in real-life, client-focused projects.
  • Improve your skills in cloud data solutions implementation.
  • Acquire relevant hands-on experience based on real-life projects and challenges inspired by industry experts from Wizeline.
  • Learn from the Wizeline community of industry experts involved in the creation of this program.
  • Gain remote, live, and hands-on experience with the support of mentors from Wizeline.
  • Boost your professional growth with the possibility of landing a job with us.
  • This bootcamp is 100% free!

What Will You Achieve?

By participating in this bootcamp, you will boost your professional abilities and gain valuable experience working with the most commonly used tools and procedures in the data engineering world. You will adopt a professional vision with a strategic approach and a problem-solving mindset. Finally, you will expand your knowledge of the following topics:

  • CI/CD for Data
  • Documentation
  • Storage Management
  • Data Cloud Solutions
  • Data Best Practices
  • Common Data Architectures

How Can You Participate?

  1. Read the candidate’s profile and selection criteria.
  2. Apply to the program by filling out the application form (Join our waiting list and we will let you know when applications are open!).
  3. Solve the selection challenges you will receive by email within the allotted time period.
  4. If accepted, join us for the Bootcamp kickoff session!

If you have any questions, feel free to send us an email at: data_engineering_bootcamp@wizeline.com

Who should take this course?

Join us if you are a Data Engineering professional with at least one year of professional experience in the industry, with the following technical and power skills:

Power Skills:

  • Strong communication skills. 
  • Proactiveness in building relationships to improve teamwork and collaboration.
  • Focus on learning to move from a tactical to a strategic approach to projects.
  • Strong problem-solving skills, technical and non-technical.
  • Passionate about the data world.

Technical Skills:

  • Proficiency in best coding practices (Python, SQL, etc.)
  • Understanding of the different data solutions, cloud providers, and their similar options across the clouds.
  • Knowledge of CI/CD best practices and ability to use this feature to work in production environments with a team.
  • Basic knowledge of pipeline orchestration with some tools like Airflow, Luigi, Kafka, etc.
  • Experience with data best practices, the whole procedure of pipelines, storage management, and data cloud solutions.
  • Experience with big data pipelines, working with Spark (any flavor), Dask, or any other distributed processing tools.

 

Requirements

Laptop/computer

Laptop/computer

At least 4GB RAM

At least 4GB RAM

Python development environment (minimum 3.8)

Python development environment (minimum 3.8)

Reliable internet connection

Reliable internet connection

Cloud provider personal account (AWS, GCP)

Cloud provider personal account (AWS, GCP)

GitHub account

GitHub account

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Data Engineering Bootcamp

  • Category

    175C9079-78B0-4BEA-8BEC-54DFBC4CD8CB@1.00x Data Engineering
  • Location

    B093C645-15F8-40CD-BEC3-D1EC29D275B4@1.00x Online
  • Date

    35EFBD68-9671-472B-ACA4-C711F1FCA6EF@1.00x Jun, 14 2022 - Aug, 4 2022
  • Format

    10A33695-1552-42E6-8A82-9FA2DBA33069@1.00x Bootcamp
  • Time

    704CD05F-1FB0-453F-9FC0-4A18ED9D83A8@1.00x 06:00 - 08:00 PM / CDT
  • Capacity

    90D99D6D-B1BE-410C-829C-E41150A8838F@1.00x 40
  • Language

    FF069FD8-9C04-4BC8-A70B-E94D739ACCAB@1.00x English

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