You will build and maintain data frameworks for utility and grid modernization systems.
Responsibilities
- Build frameworks for data ingestion, audit, logging, and reconciliation.
- Design and implement data models for complex utility datasets.
- Develop data pipelines using PySpark and Hive.
- Architect data solutions within Hadoop environments.
Required Skills
- 3+ years of experience in data engineering.
- Proficiency with Palantir Data Foundry.
- Strong Python programming skills.
- Experience with Hadoop DW Architecture.
- Hands-on experience with Hive and PySpark.
- Knowledge of Snowflake.
- Experience in Utility T&D or Grid modernization domains.
Preferred Skills
- Degree in any graduate field.