Senior Software Engineer

Skils Required

• Minimum 5 years’ experience with Teradata (Vantage) or any RDBMS system/ ETL Tools.
• Experience with HL7, FHIR, JSON files structures.
• Able to validate data, perform data analysis, load data into appropriate systems and organize it to get meaningful reports.
• Able to conduct testing and system validation to troubleshoot issues related to master data management and system integrity.
• Experience with AWS capabilities – Glue, DynamoDB, Lambda, Redshift, elastic search.
• Good experience with testing concepts and expertise in tools such as Postman.
• Good experience on API testing on integrating with multiple systems and vendors.
• Proficiency in SQL, relational and non-relational databases, query optimization and data modelling.
• Experience in Healthcare
• Excellent communication skills

What you will do.

• Provide expert content/professional leadership on complex Engineering assignments/ projects.
• Design and develop a consolidated, conformed enterprise data warehouse and data lake which store all critical data across Customer, Provider, Claims, Client and Benefits data. Design, develop, and implement methods, processes, tools and analyses to sift through large amounts of data stored in a data warehouse or data mart to find relationships and patterns.
• Participate in the delivery of the definitive enterprise information environment that enable strategic decision-making capabilities across enterprise via analytics and reporting. Exercise considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives.
• Use deep professional knowledge and acumen to advise functional leaders.
• Focus on providing thought leadership within Information Management and work on broader projects, which require understanding of wider business.
• Be recognized internally as a subject matter expert.
• Recommends ways to strengthen data integrity, quality, and availability across the organization.
• May own assigned functions to provide system support and data quality governance.
• Complete day-to-day tasks without immediate supervision but has ready access to advice from more experienced team members.
• Tasks involve a degree of forward planning and anticipation of needs/issues.
• Resolve non-routine issues escalated from more junior team members.