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Data Engineer – Automobile Dealership

6-10 Lakhs

1-3 Years

Delhi-New Delhi, Haryana-Gurugram

Data Analyst

Vacancies - 1
Apache AirflowAPI IntegrationAutomotive Industry+ 17 More
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Personal Details

Data Engineer – Automobile Dealership Screening Questions

Job Description

Job Title: Data Engineer – Automobile Dealership

Location: Gurgaon / Delhi NCR.

Experience: 1–3 Years

Salary: ₹7 LPA

Key Responsibilities

  • Design and manage data pipelines across dealership systems.
  • Integrate DMS, CRM, Website, WhatsApp, Meta, and Google lead sources.
  • Build and maintain centralized databases and data warehouses.
  • Develop ETL/ELT processes for automated data movement.
  • Ensure data quality, accuracy, and consistency across systems.
  • Create API integrations between business applications.
  • Automate data collection and reporting workflows.
  • Support Power BI and analytics teams with clean and structured datasets.
  • Monitor database performance, backups, and security.
  • Develop scalable data architecture for future AI and automation initiatives.

Required Skills

  • Advanced SQL
  • Python
  • REST API Integration
  • Database Management (SQL Server / MySQL / PostgreSQL)
  • ETL/ELT Concepts
  • Data Warehousing
  • Data Modeling
  • Data Quality & Validation
  • Power BI Data Connectivity
  • Microsoft Excel (Intermediate)

Preferred Skills

  • Azure Data Factory
  • SSIS
  • Apache Airflow
  • CRM & DMS Integration
  • WhatsApp API Integration
  • Cloud Platforms (Azure / AWS / GCP)
  • Experience in the Automobile Industry

Key Deliverables

  • DMS ↔ CRM Integration
  • Lead Management Data Pipeline
  • WhatsApp & Digital Lead Integration
  • Automated Data Warehouse
  • Centralized Reporting Database
  • Automated MIS Data Feeds
  • AI-Ready Structured Data Environment

Why Join Us?

  • Opportunity to build a modern data platform for a leading Honda dealership group.
  • Work on AI, automation, CRM, WhatsApp, and Business Intelligence initiatives.
  • Direct exposure to dealership leadership and digital transformation projects.

 

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