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Fragma Data Systems Salary in India 2026: Career & Compensation

A detailed breakdown of salaries at Fragma Data Systems in India, highlighting roles in Big Data, Data Engineering, and cloud consulting.

7 July 2026By Rahul Verma

Fragma Data Systems Salaries in India

Fragma Data Systems is a niche Big Data and Analytics consulting company specializing in enterprise data lake implementation, real-time analytics, and cloud migration services.

(Note: Salaries are quoted in INR per annum. Compensation varies based on skill sets, client engagements, and negotiation.)

Average Salary by Experience Level & Roles

1. Big Data & Analytics Consulting

  • Data Engineer (1-3 years): ₹4,50,000 - ₹8,00,000 per annum
  • Senior Data Engineer (4-7 years): ₹9,00,000 - ₹16,00,000 per annum
  • Big Data Architect (8+ years): ₹18,00,000 - ₹28,00,000+ per annum

2. Cloud Engineering

  • Cloud Consultant (AWS/Azure): ₹6,00,000 - ₹12,00,000 per annum
  • Senior Cloud Infrastructure Engineer: ₹13,00,000 - ₹20,00,000 per annum

Skills That Command a Premium at Fragma Data Systems

1. Apache Spark and Scala/Python expertise

Fragma is primarily a Big Data consultancy. Engineers who can optimize Spark jobs, manage cluster scaling, and build robust ETL pipelines in Scala or Python earn at the highest end of the compensation bands.

2. Cloud Data Warehouse expertise (Snowflake, Databricks)

As organizations move from on-premise servers to cloud storage, expertise in modern cloud data architectures (like Databricks Lakehouse or Snowflake) is highly valued. Consultants with hands-on experience in these tools command a premium of 15% - 25% over standard rates.

3. Real-Time Streaming Systems

Familiarity with message brokers and streaming tools (such as Apache Kafka, Flink, or Spark Streaming) is a significant competitive edge during salary discussions.

Frequently Asked Questions

What is the primary office location for Fragma Data Systems in India?

Fragma Data Systems is headquartered in Bangalore, India, which serves as the central hub for their engineering and analytics operations.

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