Data Engineer Assessment
Build data lakes, pipelines, and analytics infrastructure on cloud
The Data Engineer assessment covers 6 domains - from data ingestion and ETL to streaming pipelines and governance. Get a score that reflects your real-world pipeline engineering skills, not just service names.
What does a Data Engineer do?
Data Engineers build and maintain the infrastructure that moves data from its sources to where it can be analysed and acted on. That means designing ETL jobs, architecting data warehouses, building streaming pipelines, and enforcing data governance across cloud platforms.
Africa's growing fintech, agritech, and health-tech sectors are generating vast amounts of data. Engineers who can build reliable, cost-efficient data infrastructure on cloud are at the centre of that growth - and are increasingly sought for remote data roles globally.
What Kloud Safari tests for Data Engineer
The assessment covers 6 domains across scenario-based questions designed around real trade-off decisions.
Data Ingestion
Batch and streaming ingestion patterns, managed data migration services, real-time event streaming (Kinesis / Event Hubs / Pub/Sub), change data capture (CDC), and SaaS source connectors.
ETL & Transformation
Managed ETL services (Glue / ADF / Dataflow), orchestration (Step Functions / ADF pipelines / Cloud Composer / Airflow), Spark on managed clusters, and transformation testing.
Data Warehousing
Cloud data warehouse architecture (Redshift / Synapse / BigQuery), distribution and partitioning strategies, query performance optimisation, and serverless vs provisioned trade-offs.
Stream Processing
Managed streaming services, windowing semantics, exactly-once delivery guarantees, real-time vs micro-batch trade-offs, and stateful stream processing patterns.
Data Governance
Data catalogue, column-level security, data lineage tracking, data quality enforcement, access policies across cloud data platforms, and data mesh patterns.
Analytics & Visualisation
Query optimisation and partitioning for ad-hoc analytics, BI tool integration (QuickSight / Power BI / Looker), log analytics, and federated queries across sources.
Key skills covered
Which level will you be placed at?
Every engineer is placed across four levels based on their assessment responses.
Pre-Junior
Core service awareness, limited hands-on. Learning the fundamentals.
Junior
Can build basic solutions independently within defined patterns.
Mid-Level
Designs multi-service, multi-AZ systems. Navigates trade-offs confidently.
Senior
Architects at org scale. Sets standards. Mentors other engineers.
What you get after the assessment
Verified Readiness Score
An overall percentage score plus section-by-section breakdown across each domain. Share your public profile with recruiters.
Gap Report
A ranked list of the specific skill gaps holding you back, with an estimate of how long each will take to close.
Week-by-Week Roadmap
A personalised plan of certifications, projects, and courses - ordered by impact - to reach the next level.
Assessment FAQ
Is the assessment free?
Yes. The full assessment, score, gap report, and roadmap are completely free.
Which cloud does the Data Engineer assessment cover?
You choose AWS, Azure, or GCP. The domains are the same, but the questions reference the specific services and tooling of your chosen platform.
Does the assessment cover both batch and streaming pipelines?
Yes. The ingestion and stream processing domains specifically test the trade-offs between batch and streaming approaches - including when to use each.
I know Python and PySpark but not a specific cloud. How will I score?
Strong PySpark knowledge is very relevant to the ETL domain. You will likely score well there, while cloud-specific warehousing and governance domains may surface gaps your roadmap will close.
What separates a Mid-Level from a Senior Data Engineer?
Mid-level engineers build reliable pipelines for known data sources. Senior engineers design the organisation's data platform - choosing between warehouse and lakehouse architectures, governing data quality across teams, and optimising cost at scale.
Ready to find your level?
Free · No card required · Results and roadmap in 20 minutes
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