About the Role
Role: Sr. Azure Databricks Data Engineer
Experience: 6+ Years
Location: Navi Mumbai
Duration: Fulltime
Role Overview
We are looking for a Data Engineer to design and build scalable, production-grade data pipelines on Azure using Databricks. The role involves working with high-volume, high-velocity enterprise data across domains such as telecom, retail, and regulatory systems (e.g., GST, eWay Bill).
You will be responsible for building reliable batch and real-time pipelines, ensuring data quality, auditability, and performance at scale.
Key Responsibilities
Data Engineering & Pipeline Development
• Design and implement end-to-end data pipelines using Azure Databricks and PySpark
• Build and maintain batch and real-time ingestion pipelines using:
o Azure Data Factory (ADF)
o Kafka / Azure Event Hubs
• Process TB–PB scale structured and semi-structured datasets (JSON, Parquet, CSV)
Lakehouse Architecture
• Implement and mainta...
Experience: 6+ Years
Location: Navi Mumbai
Duration: Fulltime
Role Overview
We are looking for a Data Engineer to design and build scalable, production-grade data pipelines on Azure using Databricks. The role involves working with high-volume, high-velocity enterprise data across domains such as telecom, retail, and regulatory systems (e.g., GST, eWay Bill).
You will be responsible for building reliable batch and real-time pipelines, ensuring data quality, auditability, and performance at scale.
Key Responsibilities
Data Engineering & Pipeline Development
• Design and implement end-to-end data pipelines using Azure Databricks and PySpark
• Build and maintain batch and real-time ingestion pipelines using:
o Azure Data Factory (ADF)
o Kafka / Azure Event Hubs
• Process TB–PB scale structured and semi-structured datasets (JSON, Parquet, CSV)
Lakehouse Architecture
• Implement and mainta...
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