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Tier-1 brand, mid-level generalist data role in Bangalore with broad required skills creates high competition.
Core data engineering skills are transferable, but preferred energy sector power-system expertise increases domain specificity.
Explicit 2-5 years plus mandatory Python, ELT, PostgreSQL, and Power BI skills increases shortlisting strictness.
Design, develop, and maintain scalable ELT/ETL pipelines to process high-frequency power system data ensuring integrity and lineage.
Automate data extraction from power system simulation models using Python and manage data warehousing with PostgreSQL and data-lake architectures for efficient query performance.
Create interactive BI dashboards with Power BI or Tableau for translating complex grid data into actionable insights for strategic decision-makers.
Bachelor’s degree in Computer Science, Data Engineering, Electrical Engineering, or related quantitative field.
2-5 years of relevant experience in Python automation, database management (PostgreSQL or similar), and advanced data visualization.
Proficiency in building end-to-end ELT workflows managing large-scale datasets, preferably in energy or utility sectors.
Expertise in Power BI including advanced data modeling and Direct Query/Import strategy management.
Experienced in energy or utility sector data environments, familiar with power system fundamentals and power market simulation tools (e.g., PlanOS, PLEXOS).
Skilled at bridging technical data outputs with business intelligence visualization for cross-functional stakeholder use.
Comfortable working in complex, multi-regional data environments managing diverse data priorities and collaborating with engineering teams.