Data Engineer-Atlas
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
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
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
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
