Location: Lahore (Head Office)
Positions: 1

Stylo is seeking a Data Engineer to design, build, and manage scalable data solutions. You will collaborate with business stakeholders to translate requirements into modern data architectures and pipelines, leveraging Microsoft Fabric, OneLake, Azure components, and Databricks.

Key Responsibilities:

• Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions.

• Design and implement modern Data Warehouse (DWH) and lakehouse architectures using OneLake, Fabric, and other Azure components.

• Develop end-to-end ETL/ELT data pipelines using Microsoft Fabric, Data Factory, and Databricks.

• Manage batch and real-time data ingestion from structured and unstructured sources.

• Lead the design of metadata-driven ingestion and processing frameworks.

• Implement data governance using Azure Purview, including metadata management, data cataloging, and lineage tracking.

• Work closely with project managers and architects to ensure timely, high-quality delivery.

• Participate in environment provisioning, optimization, and monitoring of the Azure Fabric platform.

• Work with large-scale cloud-based data warehouses and data lakes.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Required Skills:

• Strong understanding of DWH concepts, ETL/ELT pipelines, and data modeling.

• Hands-on experience with:

  • Microsoft Fabric components: OneLake, Dataflows Gen2, Pipelines, Lakehouses

  • Azure Data Factory, Azure SQL, Azure Synapse, Azure Analysis Services

  • Azure Purview for data governance

  • Power BI for reporting and dashboarding

  • Databricks for transformations using PySpark/Spark

• Experience in metadata-driven ingestion and working with multiple source systems.

• Experience in migrating data from legacy systems or other cloud platforms to Microsoft Fabric.

Nice to Have Skills:

• Provisioning and managing Fabric workspaces and environments.

• Integration with Power Platform (Power Apps, Power Automate).

• Familiarity with CI/CD for data pipelines using GitHub Actions or Azure DevOps.

Experience:

• Minimum 2 years in data engineering, data management, or data governance roles.

• At least 1 year of hands-on experience with Azure data services.

• Delivery of at least 1 project using Microsoft Fabric.