Company Description Fragma Data Systems is a Big Data Analytics solutions provider that helps organizations across major industries transform data into actionable insights through end-to-end solutions. Headquartered in Bengaluru and led by experts from cross-functional domains, the company was recognized by Silicon Review as one of the 10 Fastest Growing Data Analytics Companies in India in 2016.

Fragma delivers advanced analytics, dashboards, and visualizations that support strategic decision-making, efficiency improvements, and profit growth. Its data infrastructure and big data technology solutions enable clients to manage and leverage large volumes of structured, semi-structured, and unstructured data. With strong technology partnerships and a mission focused on business value and operational excellence, Fragma emphasizes collaboration among clients, team members, and partners.

Role Description The Azure Data Engineer will work on-site in Bengaluru in a full time capacity, designing, building, and maintaining data solutions on Microsoft Azure. This role involves developing and optimizing data pipelines, ETL processes, and data models to ensure reliable, high-performance data flows for analytics and reporting.

The engineer will collaborate with data analysts, business stakeholders, and application teams to understand requirements, translate them into scalable data architectures, and implement secure, well-governed data environments. Day-to-day responsibilities include integrating diverse data sources,



monitoring and troubleshooting data workflows, improving data quality, and contributing to best practices for data engineering across projects. The role may also involve performance tuning, cost optimization, and documentation of data solutions within Fragma’s broader big data ecosystem.

Qualifications

- Candidates should possess strong skills in Data Engineering, including building scalable data pipelines and integrating multiple data sources.
- Candidates should possess solid Data Modeling skills, covering conceptual, logical, and physical models for analytics and warehousing.
- Candidates should possess hands-on experience with Extract Transform Load (ETL) and Data Warehousing to design and operate robust data workflows.
- Candidates should possess proven Data Analytics skills to support reporting, dashboards, and insight generation for business teams.
- Experience with Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL/SQL MI, Azure Blob/Data Lake) is highly beneficial.
- Proficiency in SQL and at least one programming language commonly used in data engineering (such as Python or Scala) is preferred.
- Knowledge of big data frameworks and tools (e.g., Spark, Kafka, Hadoop ecosystem) and familiarity with real-time or batch processing is an advantage.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
- Strong problem-solving abilities, attention to detail, and

📌 Azure data engineer (Bengaluru)
🏢 Fragma Data Systems
📍 Bengaluru