Senior Python Data Engineer

📋 Description

• Develop strategies to acquire data from lab instruments.
• Build parsers for outputs: .xlsx, .pdf, .txt, .raw, .fid and vendor binaries.
• Architect robust data models and scalable pipelines with tests and utilities.
• Compare datasets to design shared, extensible data model components.
• Create dashboards and reports with Streamlit, Tableau, Jupyter, and more.

🎯 Requirements

• 5+ years in Data Engineering or similar.
• 3+ years Python and SQL for data work.
• Experience with Streamlit, Tableau, Jupyter Notebook (plus).
• Excellent communication, attention to detail, and delivery focus.
• Ability to quickly understand a technical product and collaborate with PM/Engineering.

🎁 Benefits

• Medical Insurance benefits as per company policy.
• Life Insurance as per company policy.
• 15 days of paid vacation plus tenure-based extra days.
• Vacation bonus as per local law.
• Sick leave and paid holidays as per local law.
• Profit sharing as per local law.