
Software Engineering Associate Advisor - HIH - Evernorth
- Hyderabad, Telangana
- Permanent
- Full-time
- Be accountable for delivery of business functionality.
- Work on the AWS cloud to migrate/re-engineer data and applications from on premise to cloud.
- Responsible for engineering solutions conformant to enterprise standards, architecture, and technologies
- Provide technical expertise through a hands-on approach, developing solutions that automate testing between systems.
- Perform peer code reviews, merge requests and production releases.
- Implement design/functionality using Agile principles.
- Proven track record of quality software development and an ability to innovate outside of traditional architecture/software patterns when needed.
- A desire to collaborate in a high-performing team environment, and an ability to influence and be influenced by others.
- Have a quality mindset, not just code quality but also to ensure ongoing data quality by monitoring data to identify problems before they have business impact.
- Be entrepreneurial, business minded, ask smart questions, take risks, and champion new ideas.
- Take ownership and accountability.
- Knowledge and/or experience with healthcare information domains.
- Documented experience in a business intelligence or analytic development role on a variety of large-scale projects.
- Documented experience working with databases larger than 5TB and excellent data analysis skills.
- Experience with TDD/BDD
- Experience working with SPARK and real time analytic framework
- PYTHON, Databricks, TERADATA, SQL, UNIX, ETL, Data Structures, Looker, Tableau, GIT, Jenkins, RESTful & GraphQL APIs.
- AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM
- Ability to rapidly prototype and storyboard/wireframe development as part of application design.
- Write referenceable and modular code.
- Willingness to continuously learn & share learnings with others.
- Ability to communicate design processes, ideas, and solutions clearly and effectively to teams and clients.
- Ability to manipulate and transform large datasets efficiently.
- Excellent troubleshooting skills to root cause complex issues