Job Description

Key Skills: Pyspark, ADF, Azure Databricks, Azure ADF, Azure Synapse

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Roles and Responsibilities:

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

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- 8 to 15 years of relevant experience in data engineering and Azure data platform development.
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- Strong hands-on experience with Azure Data Factory, Azure Databricks, and PySpark.
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- Experience designing cloud data pipelines and transformation workflows on Azure.
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- Ability to build scalable data processing solutions for large-volume datasets.
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- Experience with Azure-based data integration and data movement across enterprise systems.
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Valuable to Have:

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- Azure Synapse
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Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

📌 Azure Data Engineer_102766 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru