Job Summary

We are seeking a Senior Fabric Data Engineer with solid hands-on Microsoft Fabric experience to support migration and modernization of learning-platform data from Saba and Cura into the Cornerstone Galaxy ecosystem. This role will focus on building scalable ingestion, transformation, business-rule, and curated data layers to enable analytics, compliance reporting, skills insights, and downstream integrations.

Roles and Responsibilities
Design and implement robust data solutions using Microsoft Fabric, including OneLake, Fabric Pipelines, Lakehouse, Warehouse, and Notebooks.
Build and optimize scalable ingestion and transformation pipelines using PySpark, Python, and SQL across structured and unstructured datasets.
Migrate and harmonize data from legacy source systems including Saba, Cura, and related enterprise platforms.
Develop API-driven and scheduled workflows to ingest data from internal and external systems and support downstream processing.
Implement business rules for learning history, completion status, certifications, compliance, skills, and learner profile data.
Build curated and consumption-ready datasets/models for analytics, dashboards, and operational reporting.





Required Skills & Qualifications
7+ years of experience in data engineering and enterprise data integration.
Solid hands-on experience with Microsoft Fabric and related Azure data services.
Solid experience with PySpark, SparkSQL, Python, and SQL/T-SQL.
Experience building ingestion and transformation pipelines from APIs, files, databases, and third-party platforms.
Experience with curated data layers, data modeling, and analytics-ready datasets.
Experience tuning data pipelines for scale, resiliency, and cost optimization.
Working knowledge of security, access controls, and data governance practices.
Experience with Azure DevOps and Git-based deployment automation.

Preferred Skills
Experience with learning, HR, or talent data domains.
Familiarity with ADF, Synapse, Databricks, Azure Functions, or Logic Apps.
Exposure to AI tools such as GitHub Copilot and Claude to accelerate engineering productivity and solution design.
Experience with data governance tooling such as Purview.
Exposure to AI/ML-ready data preparation and feature engineering practices.

📌 Fabric Data Engineer Telangana
🏢 Qentelli
📍 Telangana