Big Data Engineer Course
This course provides comprehensive training in big data engineering, covering data platform design, ingestion, modeling, orchestration, and observability using industry-leading tools like Spark, Kafka, and cloud services.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Big Data Engineer Course equips you with hands-on skills to build and manage modern data platforms efficiently. You'll learn about storage design, data lakes, schema evolution, and data quality assurance, then dive into batch and streaming data ingestion, orchestration, and reliable pipelines. Explore top tools such as Spark, Kafka, Snowflake, BigQuery, and Databricks while developing a secure, monitorable, and cost-effective cloud data architecture for practical applications.
Elevify advantages
Develop skills
- Design modern data lakes: organise raw to curated zones for quick analytics.
- Build robust ingestion: CDC, APIs, and streaming for real-time data flows.
- Model analytics tables: facts, dimensions, and evolving schemas that scale.
- Orchestrate pipelines: Airflow-style DAGs with retries, backfills, and SLAs.
- Implement observability: data quality tests, lineage, and governance controls.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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