Ty - Data Engineer - 0016

Overview of Data Life Cycle Programming: Python - OOP, modular coding, exceptions Scripting SQL: Fundamentals of SQL Subqueries, window functions, aggregation functions, optimization and performance Functional programming principles Databases: Design and planning, data modeling, scalable schemas Data Warehousing: ETL Dimensional modeling Schema design Data Pipelines and Workflow Management: Airflow Google Cloud Dataflow DAGs (Directed Acyclic Graphs) GCP: BigQuery Real-time Processing: Stream processing Pub/Sub Others Data Architecture: Data modeling, data integration, data processing DevOps: Cloud Build CI/CD Terraform Jenkins Git Data Security: Nice to have #J-18808-Ljbffr