Area(s) of responsibility
Azure Data Engineer with Databricks

Job Description:

Experience in Perform Design, Development & Deployment using Azure Services ( Data Factory, Azure Data Lake Storage, Databricks, PySpark, SQL)
Develop and maintain scalable data pipelines and build out current Data Source integrations to support continuing increases in data volume and complexity.
Experience in create the Technical Specification Design, Application Interface Design.
Files Processing – XML, CSV, Excel, ORC, Parquet file Formats
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.),

📌 Azure Databricks Developer (Pune)
🏢 Birlasoft
📍 Pune