Aurum Analytica
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PythonJob Summary
We are looking for a Marketing Data Engineering Specialist who can manage our real-estate
lead delivery pipelines, integrate APIs, automate data workflows, and support performance
marketing with accurate insights. The ideal candidate understands marketing funnels and has
strong skills in API integrations, data analysis, automation, and server deployments.
Key Responsibilities
Manage inbound/outbound lead flows through APIs, webhooks, and sheet-based
integrations.
Clean, validate, and automate datasets using Python, Excel, and ETL workflows.
Analyse lead feedback (RNR, NT, QL, SV, Booking) and generate actionable insights.
Build and maintain automated reporting dashboards.
Deploy Python scripts/notebooks on Linux servers and monitor cron jobs/logs.
Work closely with marketing, client servicing, and data teams to improve lead quality
and campaign performance.
Required Skills
Python (Pandas, API requests), Advanced Excel, SQL
REST APIs, JSON, authentication handling
Linux server deployment (cron, logs)
Data visualization tools (Excel, Google Looker Studio preferred)
Strong understanding of performance marketing metrics and funnels
Qualifications
Bachelor’s degree in Engineering/CS/Maths/Statistics/Marketing Analytics or related
field.
Minimum 3 years of experience in marketing analytics, data engineering, or
marketing operations.
Preferred Traits
Detail-oriented, analytical, strong problem-solver
Ability to work in fast-paced environments
Good communication and documentation skills
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