Data Modeling Engineer
4 weeks ago
Pure Lithium Corporation is seeking a highly skilled Data Modeling Engineer to join our team. As a key member of our Data Engineering team, you will play a critical role in transforming raw data into well-formed models to accelerate research for our battery technology.
Key Responsibilities- Collaborate with research scientists and engineers to gather requirements for reporting and data modeling
- Design and build data models, including tables and views, to support data analysis and visualization
- Productionize data analysis using data orchestration tools and cloud data warehouses
- Configure and optimize cloud data warehouses, including permissions, compute, and storage parameters, and table schemas
- Ensure data quality and trustworthiness by building automated tests and tracking data lineage
- Craft dashboards and reports, leveraging data visualization and presentation skills
- Expertise in SQL data transformations using tools like dbt
- Knowledge of data modeling approaches and philosophies, such as Kimball
- Expertise with at least one cloud data warehouse, such as Snowflake or Redshift
- Experience using version control systems, such as Git, and collaboration platforms, such as GitHub
- Knowledge of Python for data visualization and analysis, including Streamlit, Dash, Plotly, and Matplotlib
- Experience with analytics or business intelligence tools, such as Hex, Jupyter Notebooks, and Tableau
- Knowledge of common data integration/orchestration platforms, such as Prefect, Dagster, Fivetran, or Airflow
Pure Lithium Corporation is a fast-paced Boston-based start-up that provides the foundation for lithium metal to supplant lithium-ion as the predominant battery technology. Our mission is to enable the mass adoption of lithium metal batteries by getting lithium from the ground into the battery as quickly, sustainably, and inexpensively as possible.
We are committed to having a team that is made up of diverse skills, experience, and abilities. We encourage you to apply even if you do not meet all the desired qualifications.
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