Job Description
Key Skills: Pyspark, ADF, Azure Databricks, Azure ADF, Azure Synapse
nRoles and Responsibilities:
n
- n
- Build and maintain batch and incremental data pipelines using Azure Data Factory and Azure Databricks.n
- Develop PySpark-based transformations for structured and semi-structured data processing.n
- Integrate data from multiple source systems into Azure-based landing and curated layers.n
- Support data platform development across ADLS and related Azure services.n
- Partner with analytics and downstream teams to deliver clean, reliable datasets for reporting and consumption.n

nSkills Required:
n
- n
- 8 to 15 years of relevant experience in data engineering and Azure data platform development.n




- Robust hands-on experience with Azure Data Factory, Azure Databricks, and PySpark.n
- Experience designing cloud data pipelines and transformation workflows on Azure.n
- Ability to build scalable data processing solutions for large-volume datasets.n
- Experience with Azure-based data integration and data movement across enterprise systems.n

nGood to Have:
n
- n
- Azure Synapsen

nEducation: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

📌 Azure Data Engineer_102766 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru