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Salary
≈ $18k – $47k per year (Estimated)
Location
In office (Bengaluru)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 24, 2026. diconium scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Diconium is a German digital services company founded in 1995 that builds ecommerce platforms, digital products and data systems for large enterprises. It is best known for its long relationship with Volkswagen, which acquired the company outright in 2021 and uses it for connected vehicle services, in-car commerce and software delivery, alongside work for retail, consumer goods and industrial clients. The company is headquartered in Stuttgart, operates offices across Germany, Europe and the United States, and runs its Indian delivery capability through the Bangalore engineering firm Embitel.

About the Company

Embitel Technologies is a Volkswagen AG (VW) Group Company. VW is a German multinational automotive manufacturing corporation headquartered in Wolfsburg, Germany. VW is one of the world’s largest automaker by sales. VW sold 10.9 million vehicles in 2019. The group comprises of 12 brands from seven European Countries: Volkswagen, Audi, Lamborghini, Porsche, Bugatti, Bentley, Ducati (motorcycles), Skoda, SEAT, Scania, MAN and Volkswagen commercial vehicles.

Job Description:

Job Summary

We are seeking an experienced Azure Data Engineer with strong expertise in data engineering, API development, and Kubernetes-based deployments. The ideal candidate will design, develop, and maintain scalable data platforms on Azure, build secure APIs for data integration, and manage containerized workloads using Kubernetes. The role requires hands-on experience with Azure data services, cloud-native architectures, and CI/CD practices.

Key Responsibilities

  • Design, develop, and optimize scalable data pipelines on Microsoft Azure.
  • Build and maintain RESTful APIs for data ingestion, integration, and consumption.
  • Develop data processing solutions using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, or related Azure services.
  • Deploy, manage, and monitor applications and data workloads on Kubernetes (AKS).
  • Integrate data from multiple sources including APIs, databases, and external systems.
  • Implement data quality, governance, security, and performance best practices.
  • Develop CI/CD pipelines for automated deployment and infrastructure management.
  • Collaborate with architects, developers, and business stakeholders to deliver data-driven solutions.
  • Troubleshoot production issues and optimize cloud infrastructure costs.

Required Skills

Azure Data Engineering

  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure SQL Database / SQL Server
  • ETL/ELT Development

API Development

  • REST API Design & Development
  • API Security (OAuth 2.0, JWT)
  • API Integration & Management
  • Experience with C#, .NET Core, Java, or Python

Kubernetes & DevOps

  • Kubernetes (AKS preferred)
  • Docker Containers
  • Helm Charts
  • CI/CD using Azure DevOps or GitHub Actions
  • Infrastructure as Code (Terraform preferred)

Programming & Data

  • SQL and Data Modeling
  • Python, Java, or C#
  • Spark/PySpark
  • Data Warehousing Concepts

Preferred Qualifications

  • Experience with event-driven architectures using Azure Event Hub or Kafka.
  • Knowledge of microservices architecture.
  • Azure Certifications such as:
    • Microsoft Certified: Azure Data Engineer Associate (DP-203)
    • Azure Developer Associate
  • Experience with monitoring tools such as Azure Monitor, Log Analytics, and Application Insights.

Working with Embitel

  • Freedom to challenge norms, make mistakes, learn and grow
  • There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel
  • Employees of Embitel are partners of our excellence and growth. And they are at the core of organization’s Mission and Vision

To explore an exciting & progressive Career development at Embitel India:

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