Senior Azure Data Engineer with Gen AI

Job Title: Azure Data Engineer – Databricks | Snowflake | GenAI

Experience: 5+Years

Notice Period: Immediate Joiners to 30days

Location: PAN India

Job Type: Full-Time Job Summary We are looking for an experienced Azure Data Engineer with 6–8 years of expertise in designing, developing, and maintaining scalable cloud-based data solutions. The ideal candidate should have strong hands-on experience with Azure Databricks, Snowflake, Azure services, and CI/CD pipelines, along with exposure to Generative AI technologies. The candidate will work closely with cross-functional teams to build modern data platforms and enable enterprise analytics. Key Responsibilities

• Design, develop, and optimize scalable data pipelines using Azure Databricks.
• Build and maintain cloud-native data solutions on Microsoft Azure.
• Develop and optimize data warehouse solutions using Snowflake.
• Design and implement ETL/ELT workflows for large-scale data processing.
• Build and integrate REST APIs and GraphQL services for data access.
• Develop serverless applications using Azure Functions.
• Implement Infrastructure as Code (IaC) using Terraform.
• Build CI/CD pipelines for automated deployment using Azure DevOps or GitHub Actions.
• Work with Kafka for real-time data ingestion and streaming solutions.
• Collaborate with data scientists and AI teams to integrate Generative AI capabilities into data platforms.
• Optimize performance, scalability, and security of enterprise data solutions.
• Follow Agile development methodologies and DevOps best practices. Required Skills
• 6–8 years of experience in Data Engineering.
• Strong experience with Azure Databricks.
• Hands-on experience with Microsoft Azure services.
• Expertise in Snowflake.
• Strong knowledge of CI/CD pipelines.
• Experience with Generative AI concepts and LLM integrations.
• Experience with GraphQL.
• Strong understanding of REST APIs.
• Experience with Terraform.
• Experience with Apache Kafka.
• Hands-on experience with Azure Functions.
• Good understanding of SQL and Python is preferred.
• Experience with Git, Azure DevOps, or GitHub.
• Experience with enterprise cloud migration projects.
• Knowledge of data governance and security best practices.
• Exposure to AI/ML workloads on Azure.
• Microsoft Azure or Databricks certifications are an added advantage.