Software Engineer I - Data

The role involves configuring and delivering client-facing applications, supporting process enhancements, and maintaining healthcare application systems, including troubleshooting, issue resolution, and client communication.

Location: India

Responsibilities

• Prepare, transform, and structure client-specific data adhering to MLR guidelines.
• Design, generate, and maintain messaging datasets for IVA client demos and productions.
• Process and integrate data from third-party vendors applying business logic.
• Represent Data Operations / Data Engineering on client and product initiatives.
• Participate in daily data operations and development meetings.
• Follow change-management procedures for data updates and environment promotions.
• Document and maintain data pipelines, transformation logic, and SOPs.
• Create and maintain WIKI articles for data processes and troubleshooting.
• Coordinate with Application Development, Product, and Front-End teams for data structure optimization.
• Support data deployments across environments using Octopus Deploy.
• Manage and validate data flows into Salesforce via stored procedures and Boomi ETL workflows.
• Set up and maintain data configurations for new clients.
• Assist in developing automated data validation checks and regression test datasets.
• Measure and track data KPIs such as data quality, transformation accuracy, defect leakage, re-processing rates, and turnaround times.

Requirements

• Bachelor’s degree in Technology, Engineering, Data Science, Computer Science, or equivalent.
• 1–3 years of experience in a data-centric role such as Data Engineer, Data Analyst, Application Support (Data), or ETL / Integration role.
• Strong working knowledge of SQL and experience writing complex queries, stored procedures, and data validation logic.
• Hands-on experience with data transformation and processing using SQL, scripting, or backend technologies (.NET / C#).
• Experience working with relational databases (SQL Server preferred).
• Understanding of Agile development methodologies and sprint-based delivery.
• Experience with multi-environment data handling (Dev, UAT, Prod).
• Operational knowledge of Azure DevOps, Team Foundation Server, Octopus Deploy, or similar tools.
• Basic understanding of HTML, tags, and structured content.
• Exposure to continuous integration and deployment concepts for data pipelines.
• Experience with Salesforce or Veeva CRM data models is a plus.