Software Engineer

Job Description:

• Implement data solutions provided by architects that integrates enterprise streaming data from multiple systems, enabling real-time ingestion & distribution along with real-time data insights.
• Develop highly scalable, flexible, resilient & cost-efficient data solutions to ingest, process and utilize our data across the enterprise.
• Collaborate with cross-functional teams, including business stakeholders, engineers, enterprise architects and IT teams, to develop and deliver high-quality data solutions.
• Lead complex technology initiatives including those that are enterprise wide with broad impact.
• Utilize a thorough understanding of available technology, tools, and existing designs.
• Leverage knowledge of industry trends to build best in class technology to provide competitive advantage.
• Participate in code reviews, providing valuable feedback to maintain code quality and adherence to best practices.
• Maintain detailed documentation of your work and changes following the best practices.
• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers.
• Work with Infrastructure Engineers and System Administrators as appropriate in designing the infrastructure.
• Support ongoing data management efforts for Development, QA, and Production environments.

Qualifications
• Bachelor’s or master’s degree in computer science, software engineering or a related fields.
• Minimum of 8-10 years of experience in data engineering.
• Expertise in cloud databases such as AWS Aurora Postgres, DynamoDB, MongoDB for efficient data processing, ingestion & distribution.
• Expertise in optimizing database performance through sharding, partitioning, indexing, query optimization, and other tuning techniques.
• Expertise in cloud-based data storage solutions like Amazon S3 or Google Cloud Storage.
• Expert SQL and database admin skills working with large structured and unstructured data.
• Experience in workflow orchestration tools like Airflow Orkes etc.,
• Proficiency in data streaming services such as Kafka, Kinesis, and IBM MQ
• Expertise in developing programs to produce and read payloads from data streaming solutions like Kafka, Kinesis Data Streams.
• Experience in java programming language including frameworks like Spring Boot etc.,
• Experience with API development (REST, GraphQL), API Gateways etc.,
• Strong understanding of scalable containerized computing and solutions for example Kubernetes, AWS ECS etc.,
• Proficiency in data formats such as JSON, HL7, EDI, and XML
• Good understanding of MDM systems/concepts and tools like Reltio, IBM Infosphere etc.,
• System development lifecycle (SDLC), Agile Development, DevSecOps, and standard software development tools such as Git and Jira
• Infrastructure as Code (IaC) technologies such as CloudFormation or Terraform
• Familiarity with AI/MLOps concepts and Generative AI technology (Good to have)
• Deep technical knowledge of 1 public cloud services (preferably AWS)
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills with both technical and non-technical stakeholders.
Preferred Qualifications:
• Experience in the healthcare industry, preferably focusing on clinical and billing data.
• Certification in AWS Cloud is highly preferred.
• Strong problem-solving skills.
• Willingness to learn new things and a great attitude to collaborate with other.
• OWNERSHIP, leading the solution implementation end-to-end