Data & AI Engineering – Cost Management Project

Mployee.me; Bengaluru; Presencial; INR 1.500.000 - 2.700.000; Jornada completa

Descripción de la vacante

Mployee.me in Bengaluru is seeking a Data & AI Engineer to build a cost data foundation for analytics and AI use cases. The role focuses on data infrastructure, ingestion, transformation, and modeling to ensure high-quality data for AI initiatives.

You will work with APIs and MCP-based solutions, design conversational AI apps, and perform descriptive, diagnostic, and forecasting analytics to illuminate cost drivers and future trends.

Formación

• Proven experience in data engineering and AI engineering.
• Strong skills in Python, SQL and PySpark.
• Experience with data ingestion, transformation and modeling.
• Familiarity with APIs and MCP-based integrations.
• Knowledge of LLM/AI integration and prompt engineering.
• Understanding analytics, data quality, and reliable AI data foundations.

Responsabilidades

• Develop and maintain a cost data infrastructure for analytics and AI.
• Implement ingestion, transformation, and modeling pipelines with high data quality.
• Collaborate to integrate APIs and MCP-based solutions.
• Design and deploy conversational AI apps using cost data.
• Perform descriptive and diagnostic analytics to identify trends.
• Apply forecasting techniques using historical data.
• Engage in LLM/AI integration and prompt engineering to enhance data interaction.

Conocimientos

Data Engineering

AI Engineering

Microsoft Fabric

Python

SQL

PySpark

Data Ingestion

Data Transformation

Data Modeling

APIs

MCP Integrations

LLM Integration

Prompt Engineering

Data Quality

Herramientas

Microsoft Fabric

Descripción del empleo

Job Requirements

We are seeking a skilled Data & AI Engineer to join our team for an exciting project aimed at establishing a robust cost data foundation. This foundation will support various analytics and AI use cases, including:

• Conversational AI for natural-language interaction with cost data
• Descriptive and diagnostic analytics to understand cost developments and key drivers
• Forecasting and predictive use cases based on historical and ongoing project data

Key Responsibilities

• Develop and maintain a comprehensive cost data infrastructure that supports analytics and AI initiatives.
• Implement data ingestion, transformation, and modeling processes to ensure high-quality data availability.
• Collaborate with cross-functional teams to integrate APIs and MCP-based solutions.
• Design and deploy conversational AI applications that leverage cost data for natural-language interactions.
• Conduct descriptive and diagnostic analytics to identify trends and key drivers in cost data.
• Utilize forecasting techniques to predict future cost developments based on historical data.
• Engage in LLM/AI integration and prompt engineering to enhance data interaction capabilities.

Qualifications

• Strong experience in Data Engineering and AI Engineering.
• Proficiency in Microsoft Fabric, Python (including Python notebooks), SQL, and PySpark.
• Demonstrated expertise in data ingestion, transformation, and data modeling.
• Experience with APIs and MCP-based integrations.
• Familiarity with LLM/AI integration and prompt engineering.
• Knowledge of analytics, data quality, and building reliable data foundations for AI use cases is highly beneficial.

About

We are seeking a skilled Data & AI Engineer to join our team for an exciting project aimed at establishing a robust cost data foundation. This foundation will support various analytics and AI use cases, including:

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.