Highbrow Technology Inc
Website:
highbrowtechnology.com
Job details:
Job Description – Azure Databricks Data Engineer (GenAI + Modern Stack)
Experience: 6–8 Years
Notice Period: Immediate Joiners Preferred
Location: Pan India / Hybrid (customize if needed)
🚀 Role Overview
We are looking for a highly skilled Data Engineer with strong expertise in Azure, Databricks, and Snowflake, combined with exposure to modern data engineering practices, CI/CD, and emerging GenAI capabilities.
This role requires a hands-on professional who can design, build, and optimize scalable data pipelines, while also contributing to API integrations and real-time data processing systems.
⚙️ Key Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines using Azure Databricks and Snowflake
- Build and manage end-to-end data workflows on Azure cloud ecosystem
- Implement and maintain CI/CD pipelines for data engineering solutions
- Work with real-time data streaming frameworks (Kafka) and event-driven architectures
- Develop and integrate APIs and GraphQL services for data access and interoperability
- Deploy and manage infrastructure using Terraform (Infrastructure as Code)
- Utilize Azure Functions for serverless data processing and integrations
- Collaborate with cross-functional teams to deliver data-driven solutions
- Explore and implement GenAI use cases within data workflows and platforms
- Ensure data quality, performance optimization, and system reliability
🛠️ Mandatory Skills
- Strong hands-on experience in Azure Databricks (Level 5)
- Expertise in Microsoft Azure ecosystem (Level 5)
- Experience working with Snowflake (Level 5)
- Solid experience in CI/CD pipelines and DevOps practices (Level 5)
➕ Secondary / Good-to-Have Skills
- Exposure to GenAI / AI use cases in data engineering (Level 3)
- Experience with GraphQL and API development (Level 3)
- Hands-on with Terraform (IaC)
- Experience with Kafka / real-time streaming systems
- Knowledge of Azure Functions (serverless architecture)
🎯 Ideal Candidate Profile
- Strong foundation in data engineering and cloud-based data platforms
- Hands-on experience building production-grade pipelines
- Familiarity with modern data stack + distributed systems
- Ability to work in a fast-paced, delivery-driven environment
- Good understanding of scalability, performance tuning, and best practices
Click on Apply to know more.