Full Stack Developer

The Full Stack Developer performs high complexity (system-level) analysis, design, development, and unit testing of scalable applications and data solutions. This role focuses on building cloud-native, data-driven systems using Python and AWS services. The candidate is also responsible for resolving defects identified during testing cycles and supporting production environments. Key Responsibilities l Design, develop, and maintain full stack applications and data pipelines l Build scalable data processing solutions using distributed frameworks (e.g., PySpark) l Develop and optimize batch and real-time data workflows l Build backend services and APIs l Develop and deploy cloud-native solutions using AWS (serverless and container-based architectures) l Collaborate with business and technical teams to translate requirements into technical solutions l Perform unit testing, debugging, and performance tuning l Support CI/CD, deployment, monitoring, and production operations Top 5 Required Skills (Hard Filter – Mandatory) l Strong Python development experience (hands-on, production-level) l Experience with distributed data processing (PySpark) l Strong SQL skills with experience in large-scale data environments l Hands-on experience with AWS core services, including: S3, Redshift, RDS Lambda, EC2, ECS, EMR, AWS Batch Experience building scalable data pipelines (batch and/or real-time processing) 5 Preferred Skills (Nice-to-Have) l Experience with data processing libraries: NumPy, Pandas, Polars l Experience building APIs / backend services (RESTful / microservices) l Experience with event-driven and cloud-native architectures l Strong understanding of SDLC, Agile, and CI/CD practices l Experience working in large-scale enterprise data platforms (e.g., Redshift / EMR-based ecosystems) and handling high-volume financial or analytical datasets Technical Environment l Languages: Python l Data Processing: PySpark, NumPy, Pandas, Polars l Databases: SQL, RDS, Redshift l Cloud Platform: AWS (S3, Lambda, EC2, ECS, EMR, AWS Batch, Step Functions, SNS, SQS, CloudWatch, ALB, API Gateway, ECR) Education & Experience l Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) l Typically 5–10 years of relevant software development experience l Proven experience delivering applications of similar scope and complexity l Focus is Python + Data Engineering + AWS, not legacy full-stack l Candidates must have hands-on AWS experience, not just theoretical exposure l Prior experience in enterprise-scale data environments preferred. Pay: $90,000.00 - $120,000.00 per year Work Location: In person