Software Development Engineer

• Design and architect scalable, end-to-end applications integrating front-end systems, back-end services, and data pipelines
• Develop and optimize data architectures to support analytics, reporting, and business intelligence use cases
• Perform deep data analysis, including data exploration, visualization, and insight generation
• Build automated and scalable processes for data analysis, model development, validation, and implementation
• Write complex SQL queries and develop scripts to support business logic and data transformations
• Leverage cloud technologies to support data processing, storage, and analytics workflows
• Collaborate closely with cross-functional teams including data engineering, research, marketing, and business stakeholders
• Contribute to system design, technical strategy, and roadmap planning across data and application ecosystems
• Support development and integration of data warehouse solutions and backend services
• Continuously identify opportunities to improve performance, scalability, and efficiency of systems and processes

• 5+ years of experience in software architecture and development of data-driven or web-based applications
• 3+ years of experience in data analytics, data engineering, or data science environments
• 2+ years of experience with AWS or similar cloud platforms
• Strong expertise in service-oriented architecture (SOA), data architecture, and data modeling
• Advanced proficiency in SQL and programming languages such as Python or Scala
• Experience working with AWS data services and cloud-based data platforms
• Fundamental understanding of data science and machine learning concepts
• Strong problem-solving skills and ability to work in ambiguous, fast-paced environments
• Excellent communication skills with the ability to collaborate across technical and business teams

Nice to Have Qualifications:

• Experience with full-stack development and modern web technologies
• Understanding of cloud infrastructure and distributed systems design
• Experience working in highly cross-functional, product-driven environments
• Exposure to large-scale data platforms and real-time data processing systems