Live opening · Posted 1 day ago
The key details from the original listing.
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Description supplied by the original job listing.
We are looking for a senior Azure Data Engineering professional with 10+ years of experience and strong hands-on expertise across Azure Data Factory, Databricks, ADLS, PySpark/Spark SQL, Power BI, and Azure Data Warehousing.
Marketing Domain experience is mandatory, along with exposure to Adobe Marketing Cloud integration.
The candidate should have strong technical depth, team management experience, and the ability to independently handle client conversations.
Key Responsibilities
Design and deliver scalable Azure data engineering solutions.
Build and maintain data pipelines using Azure Data Factory.
Develop data processing solutions using Azure Databricks.
Work with ADLS and Azure SQL Data Warehouse.
Develop Spark / PySpark / Scala-based processing solutions.
Design data models in Azure SQL DW and Azure Analysis Services.
Develop and optimize Power BI solutions.
Write and test DAX queries.
Develop Paginated Reports in Power BI.
Integrate Azure data platforms with Adobe Marketing Cloud.
Lead technical teams and ensure successful delivery.
Interact directly with clients for requirements, solution discussions, and delivery updates.
Support architecture, development, testing, deployment, and production support activities.
Mandatory Experience
10+ years total experience
Strong Marketing Domain experience
3+ years Azure project delivery
3+ years Spark / Scala coding
3+ years Power BI delivery
Hands-on ADF
Hands-on Azure Databricks
Hands-on ADLS
Hands-on Azure SQL DW
PySpark / Spark SQL
Power BI
Azure Analysis Services
DAX
Paginated Reports
Adobe Marketing Cloud integration
Team management
Client-facing experience
Work arrangement
No
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