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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design and implement data ingestion, transformation, and validation pipelines for structured, semi-structured, and time-series data.
- Develop data quality and monitoring frameworks.
- Build and maintain feature engineering pipelines in collaboration with AI/ML engineers.
- Design data models and storage schemas optimized for time-series retrieval.
- Contribute to streaming data pipeline development.
- Develop exploratory analysis and visualization outputs.
Requirements
What you’ll need- Currently enrolled in a Master's or PhD program in Computer Science, Data Science, Electrical Engineering, or a closely related field.
- Strong proficiency in Python for data manipulation, transformation, and pipeline development.
- Solid experience with SQL and relational or time-series data systems.
- Demonstrated understanding of machine learning workflows.
- Hands-on experience handling large, complex, real-world datasets.
- Strong data visualization skills with libraries such as matplotlib, seaborn, or Plotly.
Benefits
Comp & perks- EnerSys provides equal employment opportunities to all employees.
- Prohibits discrimination and harassment of any type.
ATS Keywords
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Hard Skills & Tools
PythonSQLdata ingestiondata transformationdata validationfeature engineeringdata modelingdata storage schemasdata quality frameworksdata visualization