Job Location- Noida/Gurgaon Hybrid (3 days work from office per week)/ Remote prospect available for candidates outside Delhi/NCR.

Role Summary

Build and maintain the enterprise data lake, design ETL pipelines, develop ML models for forecasting, and create AI agents/MCP integrations using LLM APIs.

Required Skills:

- Python ETL Pandas, NumPy, data modelling, API integrations

- SQL Complex queries, schema design, performance tuning

- GCP BigQuery, Cloud Storage, CloudRun, Secret Manager

- Data Lake Design Ingestion from ERP/CRM systems (NetSuite, Salesforce), schema evolution, data quality

- Working with Gen AI tools as part of your daily engineering workflow

- REST API Development and consumption (OAuth, webhooks)

- Git & CI/CD — Version control and deployment basics

Preferred Skills:

- AI Agent Development — Tool-calling agents, MCP servers,



LLM APIs (Claude, Gemini, OpenAI)

- Machine Learning — Time series forecasting, predictive modelling (Prophet, XGBoost, SARIMAX)

- BI Tools — Qlik or Looker

- Orchestration — Cloud Scheduler, Airflow, or cron-based job pipelines

Key Responsibilities:

1. Build and maintain data lake on BigQuery — ingestion, transformation, scheduling

2. Design and implement ETL pipelines (Python) across banking, ERP, and CRM sources

3. Experiment with and deploy ML models for cash forecasting and business predictions

4. Develop AI agents and MCP tool integrations using LLM APIs

5. Ensure data quality, monitoring, and alerting across pipelines

📌 Data Engineer (Uttar Pradesh)
🏢 Aeris Communications India
📍 Uttar Pradesh