Data engineer

About Aeris Communications Inc.
For more than three decades, Aeris has been a trusted cellular Io T leader enabling the biggest Io T programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our Io T technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 100 million Io T devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth
Experience : 4+ Years
Job Location- Noida & Gurgaon (Hybrid – 3 days WFO)
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, Num Py, data modelling, API integrations
- SQL — Complex queries, schema design, performance tuning
- GCP — Big Query, Cloud Storage, Cloud Run, Secret Manager
- Data Lake Design — Ingestion from ERP/CRM systems (Net Suite, 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, Open AI)
- 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 Big Query — 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