Description review
Microsoft Fabric Engineer
ParallelStaff · United States · back to the listing
HR standards
41/100
poor
Title ↔ description
75/100
solid
Reads as
Data Engineer
100% confident
How others title the same work
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What the listing never says
- 31 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Join our ever-growing group of diverse talent to tackle challenging problems and create innovative solutions. At ParallelStaff, we aren't just looking to support businesses; we want to support you! Embrace courage. Spawn meaningful ideas. Build future-proof solutions.
Requirements:
• 6 Month contract with very solid extension options
• Must have overlap with the US Central time zone. More overlap = better
• Very good spoken and written English language skills
Technical Skills
• Proven Microsoft Fabric Experience
• Look for direct, hands-on Fabric project experience (not just Azure Synapse or older Data Factory experience).
• Strong Understanding of Lakehouse Medallion Architecture
• Contractor should be able to explain how they would design Landing ➔ Bronze ➔ Silver ➔ Gold clearly and simply.
• OneLake and OneDrive Shortcut Expertise
• Verify they know how to set up OneDrive shortcuts or external storage connections into Fabric.
• Fabric Pipelines and Dataflows Skills
• They must be comfortable building Fabric Pipelines (the new generation of data movement tools, not just old ADF).
• Bonus if they know Dataflow Gen2 for transformations.
• Ability to Build Flexible, Parameterized Pipelines
• Look for ability to build dynamic ingestion pipelines (e.g., moving files per client, validating file names dynamically).
• They’ve parameterized pipelines (example: different folders for different clients).
• Experience Handling Schema Drift and Column Changes
• Very important: they should know how to ingest changing CSV schemas without breaking Bronze ingestion.
• (e.g., new columns appear? No problem until Silver.)
• Good with Fabric Notebooks (Pandas or PySpark)
• If you want validation (like checking filenames, checking column counts), they should be able to write simple Fabric Notebooks.
• Bonus if they can also set up basic data quality checks.
• Metadata Management and Logging
• Should set up a tracking table or logging system for file loads — NOT just move files blindly.
• Ask if they can automate a load tracking system (filename, timestamp, client ID, status).
OUR OFFER:
• USD Monthly Compensation
• Full-Time - 40 hrs. a Week
• 100% Remote Work
• Bonus upon performance.
• Vacation / Holidays Off
• Sick days
• Sign In Bonus USD 100
Originally posted on Himalayas
Requirements:
• 6 Month contract with very solid extension options
• Must have overlap with the US Central time zone. More overlap = better
• Very good spoken and written English language skills
Technical Skills
• Proven Microsoft Fabric Experience
• Look for direct, hands-on Fabric project experience (not just Azure Synapse or older Data Factory experience).
• Strong Understanding of Lakehouse Medallion Architecture
• Contractor should be able to explain how they would design Landing ➔ Bronze ➔ Silver ➔ Gold clearly and simply.
• OneLake and OneDrive Shortcut Expertise
• Verify they know how to set up OneDrive shortcuts or external storage connections into Fabric.
• Fabric Pipelines and Dataflows Skills
• They must be comfortable building Fabric Pipelines (the new generation of data movement tools, not just old ADF).
• Bonus if they know Dataflow Gen2 for transformations.
• Ability to Build Flexible, Parameterized Pipelines
• Look for ability to build dynamic ingestion pipelines (e.g., moving files per client, validating file names dynamically).
• They’ve parameterized pipelines (example: different folders for different clients).
• Experience Handling Schema Drift and Column Changes
• Very important: they should know how to ingest changing CSV schemas without breaking Bronze ingestion.
• (e.g., new columns appear? No problem until Silver.)
• Good with Fabric Notebooks (Pandas or PySpark)
• If you want validation (like checking filenames, checking column counts), they should be able to write simple Fabric Notebooks.
• Bonus if they can also set up basic data quality checks.
• Metadata Management and Logging
• Should set up a tracking table or logging system for file loads — NOT just move files blindly.
• Ask if they can automate a load tracking system (filename, timestamp, client ID, status).
OUR OFFER:
• USD Monthly Compensation
• Full-Time - 40 hrs. a Week
• 100% Remote Work
• Bonus upon performance.
• Vacation / Holidays Off
• Sick days
• Sign In Bonus USD 100
Originally posted on Himalayas