Software Engineer II- Java, React, AWS

ons, including design, development, and technical troubleshooting.

• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.

• Produce or contribute to architecture and design artifacts for applications, ensuring software code development meets design constraints.

• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems.

• Identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.

• Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies.

• Add to a team culture of diversity, opportunity, inclusion, and respect.

• Collaborate with cross-functional teams to deliver robust solutions.

• Implement best practices for code quality, testing, and deployment.

• Support ongoing maintenance and enhancement of existing systems.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Demonstrate hands-on experience in system design, application development, testing, and operational stability.

• Code proficiently using Glue and EMR.

• Develop and manage SQL and NoSQL databases.

• Utilize AWS cloud technologies effectively in engineering solutions.

• Apply comprehensive knowledge of the Software Development Life Cycle.

• Understand and implement agile methodologies, including CI/CD, application resiliency, and security.

• Apply expertise in software applications and technical processes within disciplines such as cloud and artificial intelligence.

• Develop applications using multiple Cloud and Traditional Data Engineering technologies, including AWS services like Glue, EMR, and data warehouses.

• Develop data ingestion solutions from on-premise applications to private cloud AWS using services such as S3, Lambda, SQS, Event Bridge, Glue/Glue Studio/Glue workflows/Glue Data Catalogue, CloudWatch, Aurora MySQL/PostgreSQL, and EMR with Python/PySpark.

• Apply advanced understanding of KMS and IAM services.

Preferred Qualifications, Capabilities, and Skills

• Demonstrate proficiency in software engineering disciplines, including business analysis, development, testing, deployment, maintenance, and improvement of software.
• Work with streaming services such as Kafka, AWS MSK, Confluent Kafka, or equivalent services.
• Implement CI/CD processes in AWS Cloud environments and utilize Infrastructure as Code services such as Terraform or CloudFormation.
• Apply knowledge in QuickSight, Sigma, Knowledge Graphs, and GraphDB