Skip to content
People Luma
People LumaSenior Azure Data Engineer
Back to jobs

Senior Azure Data Engineer

Affiniti Hive

Location
Lahore · On site
Type
Full-time
Level
Senior
Department
Engineering
Posted
28 days ago
Apply by
Not set
Pay
Pay not shared

About the role

You will design, build, and run our cloud data platform at PeopleLuma in Lahore, PK, with a primary focus on migrating legacy Azure data workloads to Microsoft Fabric.

What you'll do

  • Design and build ETL and ELT pipelines with Azure Data Factory and Fabric Data Pipelines to move data from on-premise SQL Server and client systems into the cloud data warehouse.
  • Architect Fabric Lakehouses and Warehouses using the medallion (Bronze, Silver, Gold) pattern with Delta Lake and OneLake.
  • Migrate existing Azure Synapse, Data Lake Storage Gen2, and Event Hubs workloads to Microsoft Fabric with zero downtime for production reporting.
  • Build real-time streaming solutions using Event Hubs, Stream Analytics, Fabric Eventstream, and KQL databases.
  • Write and tune advanced SQL, T-SQL, Python, and PySpark, including managing partitioned tables, indexed views, and query-store performance.
  • Automate deployments of the cloud data platform using Azure DevOps pipelines, Git, and Docker.
  • Build Power BI dashboards on top of the warehouse and implement data governance using Microsoft Purview.
  • Collaborate with data science, DevOps, and BI teams, owning pipeline delivery and securing stakeholder sign-off on architecture decisions.

What we're looking for

  • 4 or more years of data engineering experience
  • Bachelor's degree in Computer Science
  • Strong skills across the Azure data stack, including Azure Data Factory, Azure Synapse Analytics, and Azure Databricks
  • Demonstrated experience with Microsoft Fabric, Delta Lake, and OneLake
  • Strong proficiency in SQL, T-SQL, Python, and PySpark, including query tuning and optimization
  • Experience deploying data platforms with Azure DevOps and building dashboards in Power BI

Must have

  • Azure Data Factory
  • Microsoft Fabric
  • Azure Synapse Analytics
  • Azure Databricks
  • Python
  • SQL
  • Delta Lake
  • Power BI
  • Azure DevOps

Nice to have

  • Microsoft Purview
  • Docker
  • Stream Analytics
  • KQL Database

How we hire

  1. You apply with your profile
  2. Your resume is read against the roleUses AI
  3. An interview you can take when it suits youUses AI
  4. A person reviews the results and decides

A person makes every decision. AI is used for: reading your resume against the role; running the first interview and writing up how it went. How we handle your data.

The application asks 4 short questions.

About Affiniti Hive

Affiniti Hive is hiring on People Luma. It has 4 other open roles.

See Affiniti Hive

More roles at Affiniti Hive

Similar roles