Data and analytics
Data Engineer
Also called: Big Data Engineer, ETL Developer, Data Pipeline Engineer
Builds the pipelines and warehouses that move clean data to analysts and models: batch, streaming and big-data tools.
- Skill Packs
- 16
- Class hours
- 443
- At 6 hours a week
- about 19 months
- Free certifications
- 19
- Library resources
- 95
- Interview questions
- 157
✓ All 176 lessons expert reviewed
Your route. Follow the path in order and finish the capstone before you apply. Your goal is a portfolio project and interview practice you can show in the next few months.
Industry 5.0 · this path teaches 0 of 3 pillars
+ 🤝 Human-centred: add I50-HUM+ 🌱 Sustainable: add I50-SUS+ 🛡️ Resilient: add I50-RES
1. Foundation
5 packs · 142 hours
The base every pack after it builds on.
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1
Python programming FND-01 Beginner
37 hours 15 lessons 🎓 4 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 18 interview questions
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2
Developer toolkit: command line, Git and AI coding assistants FND-02 Beginner
16 hours 8 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
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3
SQL and databases FND-03 Beginner
32 hours 13 lessons 🎓 3 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 16 interview questions
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4
Linux and networking LNX-01 Beginner
30 hours 11 lessons 🎓 1 free certification 📚 4 library resources ✓ Expert reviewed ❓ 6 interview questions
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5
Data wrangling with NumPy and pandas DAT-02 Beginner
27 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
2. Core skills
3 packs · 83 hours
The skills the job is made of.
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6
Data engineering and big data DAT-06 Advanced
21 hours 9 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
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7
Database design and internals DBD-01 Beginner
30 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 6 interview questions
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8
PostgreSQL and MySQL in depth PGS-01 Advanced
32 hours 11 lessons 🎓 2 free certifications 📚 7 library resources ✓ Expert reviewed ❓ 6 interview questions
3. Specialise
6 packs · 168 hours
The depth that sets you apart in interviews.
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9
Containers, CI/CD and cloud foundations OPS-01 Beginner
24 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 10 interview questions
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10
MongoDB and document databases MDB-01 Beginner
32 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 6 interview questions
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11
Time-series, search and analytics databases TSD-01 Advanced
27 hours 9 lessons 📚 6 library resources ✓ Expert reviewed ❓ 6 interview questions
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12
Infrastructure as code with Terraform and Ansible IAC-01 Advanced
29 hours 10 lessons 📚 6 library resources ✓ Expert reviewed ❓ 6 interview questions
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13
Observability and site reliability OBS-01 Advanced
28 hours 10 lessons 📚 4 library resources ✓ Expert reviewed ❓ 6 interview questions
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14
Shell and PowerShell scripting SHL-01 Beginner
28 hours 12 lessons 🎓 1 free certification 📚 4 library resources ✓ Expert reviewed ❓ 6 interview questions
4. Prove it
2 packs · 50 hours
A capstone project, then portfolio, resume and interview practice.
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15
Capstone project CAP-01 Advanced
24 hours 9 lessons ✓ Expert reviewed ❓ 8 interview questions
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16
Career readiness: portfolio, resume and interviews CAR-01 Beginner
26 hours 15 lessons 🎓 1 free certification ✓ Expert reviewed ❓ 24 interview questions
Add your edge
Optional packs that make you the candidate for a particular sector or degree.
Your branch · Pick the one that matches your degree.
Your industry · Pick the sector you want to work in.
Sign up free to see the free certifications and interview preparation for this role
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