This role develops Python-based data processing workflows, calculations, and visualization generation services that transform approved source data into dashboard-ready datasets, charts, graphs, tables, and derived analytical outputs. The developer collaborates closely with the Solution Architect, Data Engineer, UI/Application Developer, and business SMEs to ensure analytics outputs are accurate, performant, and aligned with acceptance criteria. The resulting services and artifacts are integrated into a GCP-hosted application platform for production use.

Key Responsibilities

· Design and develop Python-based processing services that query approved data sources and generate dashboard-ready analytical datasets.

· Implement transformation logic, validation rules, business calculations, and derived metrics required for the defined workflow.

· Develop reusable Python modules and APIs that support visualization, graph, and reporting generation for various datasets.

· Build automated charting and analytical output generation capabilities that integrate with the front-end application.

· Optimize processing performance, scalability, and maintainability for deployment within a GCP-hosted environment.

· Collaborate with the Application Developer to integrate Python services with dashboard user interfaces and workflow components.

· Support benchmark validation activities by comparing system-generated outputs against analyst-prepared benchmark results and resolving discrepancies.

· Develop unit tests, automated validation routines, and data quality checks to ensure reliable outputs.

· Create technical documentation, deployment guides, architecture documentation, and knowledge transfer materials.

· Participate in sprint planning, code reviews, troubleshooting, and milestone demonstrations.

Required Skills

· Advanced Python development experience.

· Experience with data analytics libraries such as Pandas, NumPy, and visualization frameworks (Plotly, Matplotlib, Seaborn, or similar).

· Experience developing APIs and backend services using FastAPI, Flask, or similar frameworks.

· Experience with SQL and data transformation pipelines.

· Experience deploying applications and services within Google Cloud Platform (GCP).

· Experience working with large analytical datasets and performance optimization.

· Familiarity with source control, CI/CD practices, testing frameworks, and Agile delivery methodologies.

· Looking for ~7-10 years of relevant experience

Preferred Experience

· Energy, utility, power markets, forecasting, load analytics, or risk analytics experience.

· Experience building data-driven dashboards and reporting solutions.

· Experience integrating Python analytics services with React, Angular, or similar web applications.

· Experience supporting cloud-native analytics and data engineering solutions.

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