Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ELT/ETL pipelines to process high-frequency grid data ensuring data integrity and lineage.
Develop Python-based automation scripts for extracting simulation results from power system models like PlanOS and PLEXOS.
Create and manage relational databases (PostgreSQL) and data-lake architectures and design interactive dashboards in Power BI/Tableau for actionable insights to decision-makers.
Minimum Requirements
Bachelor’s degree in Computer Science, Data Engineering, Electrical Engineering, or related quantitative field.
2-5 years of relevant experience with Python automation, database management (PostgreSQL or similar), and advanced data visualization tools (Power BI).
Demonstrated ability to build end-to-end ELT workflows and manage large-scale datasets, preferably in energy or utility sector.
Proficiency in Power BI including data modeling, optimization, and query strategy management.
Ideal Candidate Profile
Experience working with power market simulation tools (e.g., PlanOS, PLEXOS) and understanding of electric power system fundamentals is a plus.
Familiarity with cloud data environments (Databricks, Azure Data Factory, Snowflake) and containerization technologies (Docker/Kubernetes).
Ability to handle complex, multi-regional data priorities and collaborate cross-functionally between data engineering and power systems teams.