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.
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