About Aeris Communications Inc. For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 90 million IoT devices across the world.

Aeris powers today’s connected smart world with cutting-edge technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth.

Experience : 4+ Years

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
- 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

- Build and maintain data lake on BigQuery — ingestion, transformation, scheduling
- Design and implement ETL pipelines (Python) across banking, ERP, and CRM sources
- Experiment with and deploy ML models for cash forecasting and business predictions
- Develop AI agents and MCP tool integrations using LLM APIs
- Ensure data quality, monitoring, and alerting across pipelines

📌 Data Engineer (Ghaziabad)
🏢 Aeris
📍 Ghaziabad