Technology & Engineering

Data Engineer

Builds and runs the pipelines that move data from source systems into clean, well-modelled warehouse tables an analyst can trust, starting the day with the job that failed overnight and working in batch or in streaming.

Level: Associate
Requirements: 7
Courses: 32

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Requirements

What the role asks for

Each skill is earned by completing a short list of verifying courses. Set the role as your target in the app and it orders the work for you.

01
Analytics Engineering
Analytics Engineering focuses on designing, building, and maintaining data models and transformation pipelines to enable reliable, scalable analytics and business intelligence within modern data platforms.
Any 2 of 3 courses
02
Data Governance & Quality
Covers establishing policies, processes, and standards to ensure data accuracy, consistency, security, and compliance throughout its lifecycle, including data stewardship, quality assessment, and governance frameworks within technical and business environments.
Any 3 of 4 courses
03
Data Ingestion & Transformation (ETL)
Covers designing, implementing, and optimizing ETL pipelines to extract data from diverse sources, transform it for quality and consistency, and load it efficiently into target data stores for analytics or operational use.
Any 3 of 5 courses
04
Data Modeling & Database Design
Designs logical and physical data models, defines relationships and constraints, and structures databases to support efficient storage, retrieval, and integrity of information for software applications and analytics systems.
Any 3 of 5 courses
05
Data Warehousing & Big Data
Covers designing, building, and managing large-scale data storage systems, including data warehouses and big data platforms, for efficient data integration, processing, and analytics in enterprise environments.
Any 3 of 5 courses
06
Database Technologies & Administration
Covers the design, deployment, configuration, maintenance, and optimization of relational and NoSQL databases, including backup strategies, performance tuning, user management, and security controls across on-premises and cloud environments.
Any 3 of 5 courses
07
Real-Time & Stream Processing
Designs, implements, and manages systems that ingest, process, and analyze data streams in real time using frameworks like Apache Kafka, Apache Flink, or Spark Streaming for low-latency data-driven applications.
Any 3 of 5 courses