Data Integration & Cloud Solutions Developer

Data Integration & Cloud Solutions Developer

USC, GC or GC EAD only

Onsite - Charlotte, NC (5x/wk)

We are seeking a Data Integration & Cloud Solutions Developer to design and implement scalable data platforms and integrations. In this role, you will build secure APIs, architect cloud-based solutions, and develop data pipelines that enable advanced analytics and business insights. You will work closely with cross-functional teams to deliver high-quality, end-to-end solutions that support our technology-driven initiatives.

• Design, implement, and maintain RESTful and/or Graph
  
  QL APIs for seamless integration between internal systems and third-party services.
• Ensure API security, scalability, and performance.
• Create and maintain clear API documentation.
• Architect and deploy cloud-based solutions using AWS, Azure, or GCP for scalability and resilience.
• Manage cloud resources, monitor performance, and optimize costs.
• Implement CI/CD pipelines and automated deployment workflows.
• Build data pipelines to ingest, transform, and analyze structured and unstructured data.
• Collaborate with data scientists to integrate machine learning models into production systems.

• Develop and maintain Kafka producers and consumers.
• Understand Kafka architecture (brokers, topics, partitions, producers, consumers, and Zoo Keeper/Food and Beverage).
• Work with message serialization formats (Avro, JSON, Protobuf) and schema registry.
• Troubleshoot issues such as consumer lag, broker failures, and performance bottlenecks.

• Connect Kafka with Spark, Flink, Elasticsearch, relational databases, and other data platforms.
• Work with Amazon Redshift, AWS Glue, and Databricks for data warehousing and analytics.
• Optimize database performance through stored procedures, dynamic SQL, and tuning.
• Partner with product managers, UX/UI designers, and other developers to deliver high-quality solutions.
• Participate in code reviews, technical discussions, and agile ceremonies.

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 3+ years of experience in back-end or full-stack development.
• Strong proficiency in at least one back-end language (e.g., Python, Java).
• Hands-on experience designing and developing APIs.
• Proven experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD processes.
• Experience with data analytics tools (e.g., Pandas, SQL) and machine learning frameworks (e.g., scikit-learn, Tensor Flow).
• Excellent problem-solving and communication skills.

• Master's degree or relevant certifications (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect).
• Experience with managed Kafka services (Confluent Cloud, Amazon MSK, Azure Event Hubs).
• Knowledge of security best practices and compliance in cloud environments.
• Experience working in Agile/Scrum environments.
• Service Now Application Development Certifications