Description

Key Responsibilities

• Develop and support Python-based data science, analytics, forecasting, and optimization applications.

• Translate functional and technical requirements into maintainable application, data access, and deployment solutions.

• Enhance GitHub repository structure, branching strategy, pull-request controls, code review standards, and release management.

• Build and maintain GitHub Actions or comparable CI/CD pipelines for build, test, security checks, packaging, deployment, and rollback.

• Develop and maintain AWS CDK components and reusable infrastructure deployment patterns in coordination with the cloud engineer.

• Support semantic and reporting layer evaluation, metadata configuration, query interfaces, caching, and application integration.

• Implement automated unit, integration, regression, deployment, and smoke tests, including test evidence and defect resolution.

• Manage application configuration, secrets integration, environment promotion, observability, and production troubleshooting.

• Create technical designs, test plans, deployment guides, release documentation, and operational runbooks.

Required Qualifications

• Five or more years of experience in software engineering, data engineering, data science platforms, or DevOps delivery.

• Strong Python development experience with data-oriented applications, APIs, packages, testing frameworks, and dependency management.

• Hands-on experience with GitHub, GitHub Actions, CI/CD pipelines, pull-request controls, and release automation.

• Experience with AWS CDK, Terraform, CloudFormation, or comparable infrastructure-as-code tools.

• Experience integrating analytics applications with cloud storage, databases, query services, semantic layers, or reporting tools.

• Experience with automated testing, deployment validation, environment management, monitoring, and production support.

• Strong troubleshooting, technical documentation, communication, and stakeholder collaboration skills.

Preferred Energy Market Experience

• Experience supporting energy market analytics, forecasting, optimization, trading, utility, or renewable energy platforms.

• Familiarity with wholesale power markets, generation operations, transmission systems, or energy trading processes.

• Experience working with market, operational, forecasting, or asset-performance datasets in the energy industry.

• Knowledge of ISO/RTO market structures, including ERCOT, PJM, MISO, SPP, CAISO, NYISO, or ISO-NE.

• Experience with cloud analytics, reporting, visualization, semantic-layer, machine learning, or optimization solutions.

Expected Deliverables

• Updated GitHub repositories, CI/CD workflows, branching standards, and release controls.

• Reusable CDK or infrastructure-as-code enhancements.

• Python application, data access, semantic-layer, and reporting integration deliverables.

• Automated test suites, test plans, deployment validation, and test results.

• Production deployment documentation, knowledge transfer, and support runbooks

Key Skills

Education

Not specified