Data Engineering & Pipelines Challenges

Data Engineering & Pipelines challenges put you inside the work of moving data reliably from source to insight. You'll develop skills in ETL Fundamentals, Data Pipeline Design, and Data Wrangling, and you'll write SQL for Analytics and dbt Models while building Airflow DAGs that orchestrate the flow.

From there you'll handle the harder edges — Kafka event streaming, Streaming-first design, Lakehouse architecture, and Data observability — working with Apache Spark and Snowflake or BigQuery query optimization the way data teams actually do. Each challenge you solve earns a verified credential you can share with recruiters.