Job description
You should be proficient in Python and have experience working with Pandas and Numpy libraries. You should be able to manipulate, clean, and transform large datasets efficiently. Additionally, you should be comfortable working with data visualization tools like Matplotlib, Seaborn, and Plotly.
Some of the job responsibilities may include:
- Designing and developing Python-based applications that can process large datasets efficiently
- Creating and maintaining data pipelines to support data processing and analysis
- Collaborating with cross-functional teams to understand their data requirements and deliver data-driven insights
- Implementing data visualization tools to help stakeholders understand complex data sets
- Troubleshooting and debugging applications as needed
Job Type: Full-time
Benefits:
- Health insurance
Schedule:
- 8 hour shift
Ability to commute/relocate:
- Austin, TX: Reliably commute or planning to relocate before starting work (Required)
Experience:
- REST: 7 years (Preferred)
- Java: 7 years (Preferred)
Work Location: One location
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