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Job Closed

Senior Azure Data Engineer with Gen AI

  • Source: LinkedIn
  • Prophecy Technologies
  • Hybrid
  • Hyderabad
  • Full-Time
  • Senior

Job Description

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.

Skills

  • microsoft-azure
  • azure-databricks
  • databricks
  • Snowflake
  • GraphQL
  • serverless
  • azure-functions
  • microsoft-azure-functions
  • Terraform
  • azure-devops
  • Github
  • github-actions
  • Kafka
  • Python
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