Senior Data Python + AWS Engineer

📋 Description

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

🎯 Requirements

• 5+ years building data solutions as a Data Engineer.
• 3+ years Python and SQL focused on data.
• Experience with data dashboards: Streamlit, Tableau, Jupyter Notebook (a plus).
• Excellent communication, attention to detail, and ownership.
• Quickly understand complex products and communicate with PM and Eng.
• Exposure to DevOps practices in cloud environments.

🎁 Benefits

• Medical Insurance benefits as per company policy.
• Life Insurance as per company policy.
• 15 days of paid vacation, sick leave and paid holidays as per local law.
• Paternity and maternity leave as per local law.
• Marriage, bereavement and graduation leaves as per company policy.
• Sick leave and paid holidays as per local law.
• Christmas and Mid year bonuses as per local law.
• Monthly productivity bonus as per local law.
• Discounts in local shops.
• Direct deposit of payroll.
• Paid professional certifications.