About the Job
We’re looking for a highly motivated data professional to join our team and help us source, clean, validate, and load data from various online and offline sources into our warehouse. You’ll build modular, well-documented pipelines (mainly in Jupyter Notebooks) and ensure high-quality, usable data for analytics.Key responsibilities:
1. Data sourcing via web scraping, APIs, and file extraction (CSV, Excel, PDF, JSON, XML)
2. Data cleaning & validation using Python (Pandas, NumPy)
3. Build ETL pipelines and document processes in Jupyter
4. Load structured data into ClickHouse, Postgres, or similar
5. Collaborate with analysts and engineers; report on data health and pipeline status
Benefits:
1. Competitive salary
2. Flexible working hours
3. Work on impactful data projects in a collaborative, data-first team
Number of Openings
2 openingsPerks of this Jobs
Informal dress code 5 days a week Free snacks Health insurance
Skills
Python, MS-Excel, Jupyter Notebook
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