Data Engineer / Architect
Experience With:
- Relational databases
- Relational database vendors
- MySQL, PostgreSQL, Redshift, etc.
- Developing data-intensive applications in Python
- Managing databases through ORM frameworks such as: Flask/SQLAlchemy, Django
- Schema design
- Managing ETL pipelines
- Using distributed data processing engines
- Hadoop, Spark, etc.
- Building and managing cloud native solutions
- AWS, GCP, Azure, etc.
- Building advanced analytics solutions, facilitating data science workflows
- Designing and implementing REST APIs
- Working in a team environment
- Version Control
- Agile or other related development framework
- Developing, operating, and delivering in a highly regulated and secure environment
- Deployments in either PCI or HIPAA compliant frameworks. Corresponding frameworks of NIST 800-53, HITRUST, SOC II work as well.
- Strong quantitative skills and intuition
- Comfort with ambiguity and rapid changes
Job Type
Client Payroll
Positions
Data Scientist
Must have Skills
Languages
english -Basic
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Up to 50 USD/Hour
50 USD
Up to 50 K/Year USD (Annual salary)
Longterm (Duration)
Fully Remote
David G