Python & Azure Data Engineer
Papigen is hiring a Data Engineer to support their Country Risk Dashboard and data platform on Azure. The role involves developing Python-based web applications, designing scalable data structures, and building ingestion pipelines. Candidates must have strong expertise in Python, SQL, and various Azure cloud services. This position sits within a financial analytics context and requires working in an Agile delivery environment.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Papigen is hiring a Data Engineer to support their Country Risk Dashboard and data platform on Azure. The role involves developing Python-based web applications, designing scalable data structures, and building ingestion pipelines. Candidates must have strong expertise in Python, SQL, and various Azure cloud services. This position sits within a financial analytics context and requires working in an Agile delivery environment.
TAL's take
Tier 2 company with a well-defined technical scope for a data engineer, but lacks explicit seniority or YOE markers.
The JD provides a highly specific breakdown of the tech stack, responsibilities, and project context.
Must haves
- Strong experience in Python and SQL development
- Experience building Python web/GUI applications using Streamlit, Flask, or FastAPI
- Hands-on experience with Azure Data Lake Storage and Azure Web Apps
- Data ingestion and transformation using Python/PySpark
- Experience with Git and Azure DevOps for CI/CD
Tools and skills
Nice to have: azure data factory, azure databricks, power bi, azure purview.
About the company
unfamiliar company, default mid-tier.