We are seeking a Senior Fabric Data Engineer with strong 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.

Work Youll Do

- 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.
- Perform SQL development and tuning for reporting, analytics, and downstream consumption.
- Implement automated data quality checks, reconciliations, monitoring, exception handling, and audit logging.
- Enforce secure access controls using Azure AD, RBAC, managed identities,



and secure connectivity patterns.
- Support CI/CD, code promotion, release management, and operational monitoring in Agile delivery.

Required Skills & Qualifications

- 7+ years of experience in data engineering and enterprise data integration.
- Strong hands-on experience with Microsoft Fabric and related Azure data services.
- Robust 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.
- Strong analytical, troubleshooting, and communication skills.

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.

Education

- Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field.

📌 Microsoft Fabric Data Engineer (Telangana)
🏢 Qentelli
📍 Telangana