Around 10 years of software development experience with 4+ years of hands-on experience in architecting enterprise solutions using Full Stack Development with a primary focus on Analytics and Cloud-based Big Data Solutions and others relevant to low-code/no-code platforms. 

 

Primary technical skill should include deep dive knowledge and working experience in designing Data Processing pipelines with Java, Apache Spark, Distributed architecture, Crunch, Storm, Spark, Kafka and Big Data Processing. 

Knowledge in Java, Kafka and Big Data Processing would be an added advantage. 

 

Data engineering and BI tools knowledge. Hands-on experience with tools for building data pipelines. The skillset may include at least one of the data warehouses like Snowflake, Vertica, ADW, or equivalent; ETL tools like AWS Glue, Data Integration Services or others; Business Intelligence tools like Tableau, OAC, or equivalent.

Design and build distributed, scalable, fault tolerant software components for Oracle Health Analytics platform on top of Oracle Cloud Infrastructure (OCI)

 

Real-time exposure and knowledge he/she is having in terms of system availability, and scalability of distributed systems (primarily Cloud).  Also, experience in practicing DevOps and CI/CD pipelines, and deployments on multi-zone and multi-countries would be highly preferred 

 

Experience at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols

 

Troubleshoot issues observed through internal monitoring or reported by customers and work on both corrective and preventive solutions. Exposure to OCI components like Golden Gate or Data Integration Service would be an added advantage (any one) Balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events

Career Level - IC4