We are looking for a senior Python developer to join our growing team. The ideal candidate will have strong experience in Object-Oriented Programming, data engineering, and working with large datasets. The role involves building scalable data infrastructure using Python and Pandas.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Are you a Python Expert? Build Scalable Data Infrastructure! (Remote + Flexible Schedule).
We are looking for a code-first Python Developer to join our growing team. If you are a developer at heart who loves solving complex puzzles and transforming messy raw data into pristine, usable datasets using Object-Oriented Programming and Pandas, we want to meet you.
Why You’ll Love This Role:
- Python-First Culture: We value your development skills. You aren't just running queries; you are building configurable, extendable applications.
- 100% Remote Work: Work fully remotely with a team that respects autonomy.
- Flexible Schedule: We prioritize output over hours. You only need to overlap with US Eastern Time (10PM to 7AM PH Time) for meetings 2 days a week. The remaining 3 days are yours to schedule as you prefer.
What You Will Do:
- Write clean, reliable, and standardized Python code to transform raw data from client systems.
- Build and maintain scalable ETL processes utilizing Pandas.
- Design for reliability with robust error handling, logging, and alerting.
- Load cleaned data into our BigQuery data warehouse.
What We Are Looking For:
- Python Mastery: You must be a true Python developer with strong experience in Object-Oriented Programming (OOP).
- Data Engineering Experience: 4+ years of experience transforming and loading large datasets (10s of millions of records).
- Pandas Proficiency: Deep familiarity with the Pandas library is essential for this role.
- SQL & Database Skills: Experience with SQL and BigQuery (or similar columnar databases).
- Best Practices: You are diligent with version control (Git), documentation, and writing maintainable code.
Work Setup:
- Location: 100% Work from home (Philippines)
- Schedule: Flexible shift. Must be available for US ET (10PM to 7AM PH Time) meetings for 2 days/week; discretionary schedule for the remaining 3 days.
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