Description

You will design and implement distributed data solutions for data-intensive applications and enterprise streaming ingestion.

8-10 years of experience in data engineering. Expertise in AWS Aurora Postgres, DynamoDB, and MongoDB. Strong SQL skills and database administration for large structured and unstructured datasets. Proficiency in data streaming services including Kafka, Kinesis, and IBM MQ. Experience with Java and Spring Boot frameworks. Experience with workflow orchestration tools such as Airflow or Orkestration. Knowledge of API development using REST, GraphQL, and API Gateways. Experience with containerized computing using Kubernetes or AWS ECS. Proficiency in data formats including JSON, HL7, EDI, and XML. Experience with Infrastructure as Code (IaC) using CloudFormation or Terraform. Understanding of MDM systems like Reltio or IBM Infosphere. Working knowledge of Git, Jira, Agile, and DevSecOps. Deep technical knowledge of AWS cloud services.

Responsibilities

• Implement data solutions that integrate enterprise streaming data from multiple systems for real-time ingestion and distribution.
• Develop scalable, resilient, and cost-efficient data solutions to process and utilize data across the enterprise.
• Lead complex, enterprise-wide technology initiatives and collaborate with architects, business stakeholders, and IT teams.
• Partner with Infrastructure Engineers to design systems and support data management across Development, QA, and Production environments.
• Participate in code reviews and maintain detailed technical documentation.

Required Skills

• 8-10 years of experience in data engineering.
• Expertise in AWS Aurora Postgres, DynamoDB, and MongoDB.
• Proficiency in data streaming services including Kafka, Kinesis, and IBM MQ.
• Experience with Java and Spring Boot frameworks.
• Experience with workflow orchestration tools such as Airflow or Orkestration.
• Knowledge of API development using REST, GraphQL, and API Gateways.
• Experience with containerized computing using Kubernetes or AWS ECS.
• Proficiency in data formats including JSON, HL7, EDI, and XML.
• Experience with Infrastructure as Code (IaC) using CloudFormation or Terraform.

Preferred Skills

• Experience in the healthcare industry focusing on clinical and billing data.
• AWS Cloud Certification.
• Familiarity with AI/MLOps and Generative AI technology.

Key Skills

Education

Bachelor's degree