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Data & Automation Engineer - AI & Cloud Data Platforms

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Onsite

Data & Automation Engineer - AI & Cloud Data Platforms

Hygienic Research Institute (HRIPL)

Data & Automation Engineer - AI & Cloud Data Platforms

Skills

SQL QueriesDjangoPythonData AnalysisMachine LearningAIPySparkAzure

25 days ago

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Important information


Contract type:

Permanent

Salary:

₹6 – ₹10 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

1 October 2026

What they need


Key Responsibilities:

  1. Data Pipeline Development
  • Design and build scalable ETL/ELT pipelines for modern data platforms in MS Fabric.

  • Develop automation solutions using Python and PySpark.

  • Implement cloud-native data pipelines on Azure.

  1. Platform Architecture & Maintenance
  • Build and maintain Lakehouse / Data Warehouse architectures.

  • Develop and optimize pipelines on Microsoft Fabric.

  • Improve performance, cost efficiency, and reliability of existing data systems.

  1. AI & Analytics Enablement
  • Support AI/ML and GenAI workloads by building data pipelines for model training and inference.

  • Collaborate with analytics teams to enable high-quality data models and insights.

  1. Inhouse Development
  • Desing and developing interactive dashboards.

  • Desing and develop inhouse application using Python, Django, PySpark, SQL etc.

  • Develop future ready chat bots/natural query base dashboards using different AI models, integrating with fabric data.

  • Maintain and support all internal application as per key responsibility.

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