Azure Databricks Developer

Birlasoft; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Birlasoft is seeking a Data Engineer to develop and maintain scalable data pipelines and integrate diverse data sources. You will design technical specifications and application interfaces, and implement batch and streaming data processes across on-premises and cloud environments.

The role requires hands-on experience with Azure Data Factory, Azure Databricks, PySpark, and ADLS, with the ability to manage Azure SQL DB.

Responsibilities

• Develop and maintain scalable data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity.
• Experience in create the Technical Specification Design, Application Interface Design.
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Good to have experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies (Informatica preferred)
• Demonstrated in depth skills with Azure Data Factory, Azure Databricks, PySpark, ADLS (must have) with the ability to configure and administrate all aspects of Azure SQL DB.
• Collaborate and engage with BI & analytics and business team
• Deep understanding of the operational dependencies of applications, networks, systems, security and policy (both on premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.),

Job description

• Develop and maintain scalable data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity.
• Experience in create the Technical Specification Design, Application Interface Design.
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Good to have experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies (Informatica preferred)
• Demonstrated in depth skills with Azure Data Factory, Azure Databricks, PySpark, ADLS (must have) with the ability to configure and administrate all aspects of Azure SQL DB.
• Collaborate and engage with BI & analytics and business team
• Deep understanding of the operational dependencies of applications, networks, systems, security and policy (both on premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.),