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Data Engineer Atlas

  • ... Posted on: Nov 10, 2025
  • ... Cloudious LLC
  • ... Nyc, New York
  • ... Salary: Not Available
  • ... CTC

Data Engineer Atlas   

Job Title :

Data Engineer Atlas

Job Type :

CTC

Job Location :

Nyc New York United States

Remote :

No

Jobcon Logo Job Description :

Configure Atlas workflows, build ingestion pipelines, validate fund admin data, apply business rules, and integrate with Canoe.

Hands-on Data Engineer with experiences of data processing, mapping & wrangling data to implement reusable components with Python, Sql, ETL skills.
See below for overall project tasks, optional to have ATLAS or Canoe experiences.

1. Initial setup in Atlas for all factory setup applicable to POC
2. Ingest fund administrator data using Holland Mountain ATLAS product off the shelf allocation checks and cross validation checks
3. Integrate with external sources like Canoe Intelligence, bank statements and or other sources if applicable
4. Deliver a unified, report-ready view for client oversight
5. Operate without full-scale production deployment (non-billable MVP) (Designing a factory model for rolling out to more admins.)
6. Deliver SLAs part of implementations throughout the POC for success criteria
7. Non-Functional evaluation reports/metrics

Jobcon Logo Position Details

Posted:

Nov 10, 2025

Employment:

CTC

Salary:

Not Available

Snaprecruit ID:

SD-CIE-f9bf495274ba6e618ceca23f07bb1a4eb3a026c133d79f6e707c401358006e2c

City:

Nyc

Job Origin:

CIEPAL_ORGANIC_FEED

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Configure Atlas workflows, build ingestion pipelines, validate fund admin data, apply business rules, and integrate with Canoe.

Hands-on Data Engineer with experiences of data processing, mapping & wrangling data to implement reusable components with Python, Sql, ETL skills.
See below for overall project tasks, optional to have ATLAS or Canoe experiences.

1. Initial setup in Atlas for all factory setup applicable to POC
2. Ingest fund administrator data using Holland Mountain ATLAS product off the shelf allocation checks and cross validation checks
3. Integrate with external sources like Canoe Intelligence, bank statements and or other sources if applicable
4. Deliver a unified, report-ready view for client oversight
5. Operate without full-scale production deployment (non-billable MVP) (Designing a factory model for rolling out to more admins.)
6. Deliver SLAs part of implementations throughout the POC for success criteria
7. Non-Functional evaluation reports/metrics

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