Lead I, Software Development/Engineering
S&P Global2 days ago
Responsibilities
- Architect, design, and develop scalable cloud-based data applications and robust enterprise data processing pipelines.
- Lead traditional AI and GenAI initiatives and use GitHub Copilot to improve development speed and code quality.
- Manage and optimize existing solutions while resolving complex architectural and scalability challenges.
- Troubleshoot code and cloud infrastructure issues to support system reliability and high availability.
- Provide hands-on technical guidance, conduct code reviews, enforce coding standards, and document solutions.
- Collaborate with technical and non-technical stakeholders across diverse global and matrixed teams.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent work experience.
- At least 8 years of hands-on experience in software engineering, data engineering, or data science.
- Expert-level proficiency in Python, SQL, and PostgreSQL.
- Strong hands-on experience with AWS, Azure, or GCP cloud platforms, with AWS preferred.
- Experience with Terraform, BigQuery, event-driven architecture, and scalable messaging systems.
- Familiarity with monitoring and logging tools.
- Exposure to big data processing ecosystems, Databricks, AWS EMR, Apache NiFi, and ETL pipelines.
- Advanced problem-solving, attention to detail, continuous learning, and strong communication skills.
Benefits
- Health care coverage and wellness support.
- Generous paid time off and flexible downtime.
- Continuous learning resources and career development support.
- Retirement planning, continuing education support, company-matched student loan contributions, and financial wellness programs.
- Family-friendly benefits and perks for partners and children.
- Retail discounts and referral incentive awards.
Tech Stack
Categories
BackendData Engineering