Azure Data Engineer
Summary
Experienced (5-8 yrs) data engineer role focused on designing, building, and optimizing data pipelines on Azure — using Databricks, Data Factory, Data Lake, and Azure SQL, with transformation logic in PySpark, SQL, and DBT and complex JSON/XML ingestion. PAN India placement.
Job Title: Azure Databricks Data Engineer
Experience: 5-8 Years
Location: PAN India
Notice Period : Immediate to 30 Days only
Interview Mode: Virtual Drive 31st October 2026
Job Description
We are looking for an experienced Azure Databricks Data Engineer with strong hands-on expertise in Azure data services, PySpark, SQL, and DBT. The candidate should have experience in developing data pipelines and handling complex JSON and XML data ingestion.
Key Responsibilities
- Design, develop, and maintain data pipelines using Azure Databricks and Azure Data Factory.
- Work with Azure Data Lake and Azure SQL for data storage, processing, and integration.
- Develop data transformation logic using PySpark, SQL, and DBT.
- Handle complex JSON and XML data ingestion, parsing, and transformation.
- Optimize data processing workflows for performance and scalability.
- Ensure data quality, reliability, and efficient data integration.
Mandatory Skills
- Azure Databricks (ADB)
- Azure Data Factory (ADF)
- Azure Data Lake (ADL)
- Azure SQL (ASQL)
- DBT
- PySpark and SQL
- Complex JSON and XML data ingestion
Candidate Requirements
- 58 years of relevant experience in data engineering.
- Strong hands-on experience with Azure data services and data pipeline development.
- Good problem-solving and data transformation skills.
Experience Required: 5-8 Years