Big Data Engineer Course
This course equips aspiring Big Data Engineers with hands-on expertise in building scalable, secure, and efficient data platforms using industry-leading tools like Spark, Kafka, Snowflake, BigQuery, and Databricks. Participants will design data architectures, implement ingestion pipelines, model data for analytics, orchestrate workflows, and ensure observability through real-world projects.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Big Data Engineer Course provides practical skills to design and operate modern data platforms efficiently. Learn storage design, data lakes, schema evolution, and quality checks, then master batch and streaming ingestion, orchestration, and idempotent pipelines. Compare leading tools like Spark, Kafka, Snowflake, BigQuery, and Databricks while building a secure, observable, cost-efficient cloud data architecture for real projects.
Elevify advantages
Develop skills
- Design modern data lakes: organise raw to curated zones for fast 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
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