Data Engineer responsible for building and maintaining AWS Lakehouse infrastructure for trade contractors at Remarcable. Focused on clean data architecture and AI/ML data infrastructure.
About the role
- Builds front-end and back-end infrastructure for enterprise data platform at Beghou Consulting. Supports client teams with data needs and explores new technologies.
Responsibilities
- Builds front-end and back-end infrastructure for the firm’s in-house enterprise data platform.
- Explores, enables, and documents new technologies.
- Supports client teams with different data needs.
- Deploys for new clients and supports existing clients.
- Develops backend datasets for dashboards and supports the front-end.
Requirements
- At least 5 years’ experience in data engineering using Python, including the use of pandas or PySpark.
- Experience working with Databricks extensively.
- Software development fundamentals, including Agile development, version control systems such as Git or DevOps.
- Experience configuring Azure AD/SAML/Okta/Oath and administering AWS or Azure security best practices.
- Experience with WYSIWYG ETL tools preferred.
- Container orchestration systems experience using Docker, Kubernetes, AWS ECS preferred.
- At least 6 months of experience in web application development using Flask, Django, JavaScript, Ajax, or CSS/HTML preferred.
- Candidates holding a recognized data engineering certification are preferred.
- Proficiency using Microsoft Office products.
- Life Sciences industry experience preferred.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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