You'll finish this course with a job-ready portfolio, a clear professional positioning strategy, and a concrete 30-day action plan to launch your data engineering career. You'll know how to present your pipeline-building skills in ways that resonate with hiring managers—and how to stand out in a competitive entry-level market.

Career Development For Open Source Data Engineering
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Career Development For Open Source Data Engineering
This course is part of Open source Data Engineering with Spark, dbt & Airflow Professional Certificate

Instructor: Professionals from the Industry
Included with
Recommended experience
What you'll learn
Build a data engineering portfolio with end-to-end pipeline projects that prove your ability to design, build, and deploy production-style systems.
Create a resume, LinkedIn profile, and GitHub presence that position you as a hands-on data engineer ready to contribute from day one.
Practice real data engineering interview scenarios and develop structured responses to technical, design, and behavioral questions.
Execute a 30-day career launch plan covering portfolio completion, job applications, and networking in the data engineering community.
Details to know

Add to your LinkedIn profile
March 2026
1 assignment
See how employees at top companies are mastering in-demand skills

Build your Software Development expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Coursera

There is 1 module in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

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