Data Engineer

Aeris; Dadri; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Aeris Communications Inc. is seeking a Senior Data Engineer to build and maintain an enterprise data lake, design ETL pipelines, and develop ML models for forecasting.

The role involves creating AI agents and MCP integrations using LLM APIs, with a strong focus on data quality and scalable architectures. The candidate will work with Python, SQL, and GCP to ingest data from ERP/CRM systems and ensure robust data pipelines across banking, ERP, and CRM sources, aligning with business goals and

Qualifications

• Experience in building enterprise data lakes and ETL pipelines.
• Strong Python data engineering skills, data modelling, and API integrations.
• Proficient with GCP services (BigQuery, Cloud Storage, CloudRun, Secret Manager).
• Hands-on experience with ERP/CRM data ingestion and data quality management.
• Experience with REST API development and consumption (OAuth).
• Familiarity with version control and CI/CD practices.

Responsibilities

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

Skills

Python ETL

SQL

GCP

Data Lake Design

REST API

Git & CI/CD

Tools

BigQuery

Cloud Storage

CloudRun

Secret Manager

OAuth

Job description

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 100 million IoT 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

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:

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

Our Process

Aeris is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

As part of our hiring process, Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional detail will be provided via the formal application process.