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Data Science Engineer

πŸ•’ 2 days ago
Python 3.11+PandasNumpyStreamlit
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πŸ“œ 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.

πŸ› 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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