Build and own the data systems that turn noisy marketplace listings into reliable comparable items and price estimates, including ingestion, entity resolution, valuation logic, and production monitoring.
Data Science Engineer
π Description
- Develop data transformations and time-series workflows using Python, pandas, and NumPy.
- Build multi-page Streamlit dashboards with session state and query-parameter navigation.
- Integrate data from Snowflake, OpenSearch, REST APIs, and SQL sources.
- Create visualizations using Plotly, Matplotlib, and Seaborn.
- Use AWS, Docker, Kubernetes, and CI/CD for deployment workflows.
- Handle secrets, authentication, and proxy requirements; write tests with pytest.
π οΈ Requirements
- Must have 8 Years of IT service experience
- Strong Python 3.11+, pandas, NumPy for data transformation and time-series work
- Streamlit dashboard development (multi-page, session state, query-param nav)
- API/SQL data integration (Snowflake, OpenSearch, REST sources)
- Visualization: plotly, matplotlib, seaborn
- AWS (boto3, S3/Parquet), Docker, Kubernetes, CI/CD
- Secrets/auth (JWT, cryptography, proxy handling); testing with pytest
Full job description
Technical Skills Required:
- Must have 8 Years of IT service experience
- Strong Python 3.11+, pandas, NumPy for data transformation and time-series work
- Streamlit dashboard development (multi-page, session state, query-param nav)
- API/SQL data integration (Snowflake, OpenSearch, REST sources)
- Visualization: plotly, matplotlib, seaborn
- AWS (boto3, S3/Parquet), Docker, Kubernetes, CI/CD
- Secrets/auth (JWT, cryptography, proxy handling); testing with pytest
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