About the Role
As a Data Engineer at Aspire, you will play a key role in delivering trusted, high-quality data to teams, with this role centered on the Analytics product. The HR Data Mart (HRDM) team enables people insights and a data-driven culture by building and maintaining a centralized, secured, and quality-certified HR data warehouse. You will develop and maintain the data pipelines, infrastructure, and data models for HR data sources that power analytics and insights for HR Centers of Excellence (COEs) and HR leaders. The overarching objective is to deliver faster data insights through secure, efficient, and scalable analytical datasets. This position requires US

What You'll Do
- Develop and maintain secure, productive data pipelines using DBT, PySpark, and Python applications within an Indeed-supported cloud environment for HR data sources.
- Build the infrastructure and tooling required for optimal extraction, transformation, and loading of data from a wide variety of sources using Python, DBT, Terraform, and AWS technologies such as Glue, EMR, and S3.




- Identify and implement internal process improvements, develop tests within the Data Quality Framework, monitor pipelines to maintain 99.5% uptime, and create and maintain the data models used by partner teams.
- Design and build semantic views and ontology layers on top of existing dbt models (CORE → SEMANTIC → METRICS) so HR data is consumable by both BI tools and AI agents/LLMs, defining business-friendly entities, relationships, and metrics that abstract away raw warehouse structure.
- Develop and deploy AI agents (e.g., via Snowflake Cortex Analyst/Cortex Search) for HR COE use cases — including PE, ICIMS, LMS, and Sales/CS Worker agents — enabling natural-language querying over certified HRDM data.
- Configure and maintain MCP (Model Context Protocol) connections between Snowflake and internal AI tooling to securely expose HR data to conversational and agentic interfaces.

What You'll Need
- 5+ years o

📌 Data Engineer (Udaipur)
🏢 Aspire, Jordan
📍 Udaipur