Sr Azure Data Engg.

Do share your resume - durga.gaikwad@rib-software.com

Hi ,

Greetings from RIB Software!

Driven by transformative digital technologies and trends, here at RIB weve made it our primary purpose to propel the industry forward and make engineering and construction more efficient and sustainable.

Managing the entire building lifecycle from planning to construction, the development of our powerful portfolio of software solutions is driven by industry expertise, best practice, and a passion to remain at the cutting edge of technology. Ultimately, connecting people, processes, and data in innovative ways to ensure customers always complete projects within budget, on time and to quality, while reducing their carbon footprint.

RIB Software is a proud member of Schneider Electric.

Job Title: Azure Data Engineer

Location: Nashik/Pune, India

Experience Required: 5 to 8 Years

Employment Type: Fulltime

The job

As an Azure Data Engineer, you will be part of a growing data engineering team building scalable and secure data platforms for SaaS, multi-tenant applications. You will work closely with senior engineers to develop data pipelines, perform transformations, and support event-driven data workflows while continuously learning modern Azure data technologies. Our engineering workflow is AI-augmented you will work alongside Agentic AI tools as part of daily development, so comfort with AI-assisted engineering is a core part of this role.

Key responsibilities

• Build and maintain data pipelines using Azure Synapse and Spark notebooks
• Perform data ingestion, transformation, and incremental loading from multiple sources
• Support background processing and automation using Azure Functions
• Work with relational and NoSQL databases to model and manage data
• Monitor and troubleshoot data pipeline issues and performance bottlenecks
• Use AI coding assistants and Agentic AI tools (e.g., GitHub Copilot, Claude Code) to accelerate development, testing, and documentation, while critically reviewing and validating AI-generated output

Essential requirements

• Experience with Azure Synapse Analytics (Pipelines, SQL pools)
• Hands-on experience with PostgreSQL, Azure SQL, or Cosmos DB
• Good SQL skills and basic data modelling knowledge
• Understanding of incremental loads, CDC, and performance tuning
• Basic knowledge of Azure security (Managed Identity, RBAC, Key Vault)
• AI proficiency: hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) in day-to-day engineering work including effective prompting, and the judgment to verify AI-generated code and SQL before it ships

Desired skills

• Exposure to Microsoft Fabric or Delta Lake / Parquet formats
• Basic understanding of event-driven or asynchronous processing
• Familiarity with CI/CD, Git, and collaborative development practices
• Strong logical thinking and willingness to learn
• Exposure to Agentic AI workflows AI agents that plan and execute multi-step engineering tasks or agent frameworks (e.g., Claude Code / Agent SDK, Microsoft agent frameworks)
• Familiarity with Azure AI services (Azure OpenAI / Microsoft Foundry) or building LLM-backed features such as RAG over data platforms