Data Engineer - Azure Databricks
Qloron Technology4+ yrsNagpurOn-siteDirect career pageEst. 6–12 LPA
Posted 21h ago
Reach people at Qloron Technology
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Qloron Technology you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and manage scalable batch and real-time data pipelines on Azure Databricks using PySpark, SQL, and Delta Lake.
- Own end-to-end data engineering delivery including ingestion, transformation, CI/CD pipelines, monitoring, and production support.
- Develop and optimize data products supporting Analytics, ML, Gen AI, leveraging AI-powered tools for development efficiency.
Minimum Requirements
- Minimum 4 years of experience in Data Engineering or Data Platforms.
- Strong hands-on skills in Python, PySpark, SQL, and Azure Databricks including Delta Lake and Medallion Architecture.
- Experience with batch and real-time data streaming technologies such as Structured Streaming and Azure Event Hubs.
- Familiarity with Azure data services like ADLS Gen2, Azure Key Vault, Azure DevOps, and understanding of CI/CD and production support.
Ideal Candidate Profile
- Experienced in building governed data products using Unity Catalog and implementing Medallion Architecture.
- Skilled at automation and CI/CD for scalable, reliable data pipelines with focus on performance and cost-efficiency.
- Able to collaborate cross-functionally with architects and business stakeholders and leverage AI-native engineering tools and practices.