Roles and Responsibilities

• Write clean, efficient Python code to process, manipulate, and analyze large datasets.
• Query and extract data from relational databases using SQL.
• Utilize Python libraries like Pandas for data cleaning and transformation, including handling missing values, outliers, and data formatting.
• Create interactive data visualizations using libraries such as Matplotlib, Seaborn, Plotly, and Dash.
• Integrate visualizations into web applications with basic HTML, CSS, and JavaScript knowledge.
• Collaborate with cross-functional teams to translate business requirements into data solutions.
• Interpret and present data insights, potentially turning complex findings into compelling visual narratives.
• Continuously optimize data pipelines and ensure the quality of data.

Required Skills

• Proficiency in Python programming, including experience with data structures and object-oriented programming.
• Strong knowledge of SQL for querying and managing relational databases.
• Expertise in data visualization libraries like Matplotlib, Seaborn, Plotly, and Dash.
• Experience with data manipulation and cleaning using Pandas.
• Basic understanding of HTML, CSS, and JavaScript for front-end integration.
• Strong analytical and problem-solving skills.
• Ability to work in a fast-paced, collaborative environment.

Preferred Skills

• Experience in data storytelling and creating visual narratives to communicate complex data insights effectively.
• Familiarity with web frameworks like Flask or Django for integrating Python with web applications.

Education & Experience

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field, or equivalent work experience.
• 7 years of experience in data engineering or data science with a focus on Python.

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