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Why this grade This listing scored 41/100, which is a D. It lost the most ground on freshness. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Senior Full Time
Location:
For an international organization in New York, we are urgently looking for a REMOTE (Senior) Azure Data Engineer. Candidates need to be fluent in English. All positions are long-term.
Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US. Example 9AM NY time equals 7:30PM Sri Lanka time.
Tasks and deliverables:
- Collecting large, complex sets of data that meet non-functional and functional business requirements.
- Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies.
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
- Working with stakeholders including cloud infrastructure teams, data teams, governance, and information management officers, to collaboratively design, develop and deploy and support data solutions and related infrastructure.
- Bachelor or University degree
- Minimum 3 years of experience with Azure Data Factory - Extraction, Transformation and Loading experience
- Minimum 3 years of experience with Azure Storage/ Data Lake / Data Warehouse
- Minimum 2 years of experience with Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools
- Minimum 2 years of experience with Azure Synapse analytics
- Experience with Azure DevOps and Azure Purview is nice to have;
- Excellent knowledge of English (both written and verbal) is required;
- Challenging role for an international organization in New York;
- Attractive salary package;
Details
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 13 Jul 2026 Himalayas first sighting
Seen on 1 board over 62 days.