Index Analytics LLC

• Contribute to all technical aspects of the project, including designing, developing, testing, and deploying Salesforce applications throughout the full development lifecycle. • Quickly learn and apply new Salesforce features, tools, and technologies, while effectively communicating with business owners, technical teams, development partners, and user groups to support solution delivery. • Ensure development projects meet business and end - user requirements by identifying, troubleshooting, and resolving system issues to deliver reliable, high - quality solutions. • Support proof - of - concept efforts and technical solutioning, helping establish the technical vision and partnering with developers to bring that vision to life. • Collaborate closely with stakeholders and team members to enable timely project delivery, supported by strong verbal and written communication skills and effective documentation.

• Collaborate closely with stakeholders, cross‑functional and internal technical teams to gather requirements, document business rules and develop thorough understanding of the business context and objectives • Collaborate to design secure, scalable, and cost‑optimized data solutions • Design, build, and maintain scalable, reliable ETL/ELT data pipelines using AWS, Snowflake and Snowflake tools • Develop and optimize data models, both conceptual and physical, to support analytics, reporting, dashboards and operational consumption • Implement data quality, validation, and monitoring frameworks to ensure accuracy and reliability • Ensure data workflows are modular, testable, and properly version‑controlled • Operationalize pipelines with monitoring, alerting, and automated recovery mechanisms • Conduct advanced data analysis using languages such as Python and SQL • Develop documentation to include data models, data dictionaries, and data usage guides • Improve end-to-end performance of data workflows • Build and maintain CI/CD pipelines using Jenkins to support automated testing, deployments, and continuous integration • Meet schedule deadlines and commitments with a high-level of quality of deliverables • Collaborate with a team of cross-functional resources in an Agile delivery environment to deliver iterative value

• Design, develop, and maintain machine learning models • Build and deploy ML pipelines on AWS • Develop advanced NLP solutions • Design and productionize RAG systems • Develop LLM-powered applications • Implement predictive analytics and statistical modeling • Perform data mining and exploratory data analysis • Build data visualizations and dashboards • Evaluate model performance and present results • Collaborate in an Agile environment

• Support the design, development, testing, and maintenance of full stack web applications across the front end, back end, and database layers. • Participate in the full software development lifecycle (requirements, design, implementation, testing, deployment, and production support) with mentorship from senior engineers. • Develop and consume RESTful APIs to enable integration between applications and enterprise systems under guidance. • Collaborate with infrastructure and application teams to deploy and support applications in AWS. • Implement application features that read/write data to relational databases (e.g., PostgreSQL/Aurora) and integrate with AWS services (e.g., S3, Secrets Manager, SSM) following team patterns. • Monitor and troubleshoot application and integration issues in development and production environments; document root cause and remediation steps. • Contribute to Infrastructure as Code (IaC) templates for infrastructure, application, and database changes that are promoted through CI/CD pipelines. • Support CI/CD pipelines (e.g., Jenkins) by updating build steps, reviewing logs, and helping resolve failed deployments. • Follow CMS security, privacy, and DevSecOps requirements by implementing secure coding practices and completing required documentation and reviews • Triage operational issues using standard monitoring and analysis tools (e.g., AWS CloudWatch, Splunk) and escalate appropriately. • Assist in remediating security vulnerabilities by applying patches/updates to application dependencies and supporting infrastructure under guidance.

• Design, develop, and maintain web applications across front-end and back-end • Collaborate with teams to understand business requirements • Ensure high performance and responsiveness of applications • Manage databases and implement security best practices • Write clean, scalable code • Solve complex engineering problems • Participate in Agile team environment • Collaborate and review code with peers • Understand requirements and translate them into specs