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Tier-1 brand, mid-level generalist role in Bangalore with common skills increases competition.
Core ELT, Python, and BI skills are transferable, but energy-sector preference raises domain specificity.
Explicit 2–5 years plus mandatory ELT, Python, PostgreSQL and Power BI increases filtering.
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.
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.
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.