Position Summary: GSOF-SE-DE engineer
Exp: 6 + years
Location: Bangalore only
Hybrid mode work
Seeking a Software Engineer with robust cloud engineering and data engineering experience to design, develop, and maintain scalable enterprise solutions on Microsoft Azure. This role will work across APIs, serverless services, data platforms, AI integrations, and application services to deliver secure and scalable business capabilities.
The ideal candidate will be comfortable working across multiple layers of the technology stack including application integration, Azure Functions, Databricks, APIs, Azure AI services, and cloud-native architectures.
Responsibilities:
• Design and build REST APIs, Azure Functions, and event-driven integrations across applications, data platforms, and AI services.
• Develop data processing and transformation logic using Databricks, Spark, Python, and SQL.
• Implement integrations that preserve security context — authentication, authorization, and row-level access — end to end.
• Own solutions through the full lifecycle: design, build, CI/CD deployment,



monitoring, and production support.
• Contribute to design reviews, engineering standards, and technical documentation.
• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
• Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.

Requirements:
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
• 4+ years of software engineering in enterprise cloud environments.
• Strong Python and SQL; API design and serverl

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