03 Aug
|
Cygnet Global Resources
|
India
03 Aug
Cygnet Global Resources
India
Job Information
Date Opened
07/14/2026
Job Type
Full time
Industry
IT Services
Work Experience
5+ years
Salary
20,00,000/- PA
City
HITEC City, Hyderabad
State/Province
Telangana
Country
India
Zip/Postal Code
500081
Job Description
Role: Data Engineer – Microsoft Fabric & Power BI
Location: Hyderabad (WFO)
Working hours: 04:30PM- 01:30AM
Immediate Joinee .
Key Responsibilities
- Design and develop Fabric Pipelines for automated ingestion from APIs, files into OneLake.
- Implement medallion architecture (Bronze Silver Gold) using Fabric Lakehouses and Warehouses, applying Delta Lake best practices, partitioning, and incremental load patterns.
- Please make sure candidate holds 4+ years of Data Bricks experience too.
- Build dimensional (star schema) models in the Gold layer aligned to Student, Finance, HR, Learning, and Advising domains.
- Develop and maintain the master orchestration framework, including dependency management, retry logic, error handling, and scheduled execution windows.
- Implement data quality checks, validation rules, and reconciliation logic across layers; support certification of enterprise KPIs.
- Configure Row-Level Security (RLS) and Object-Level Security (OLS) in collaboration with the BI and security teams.
- Integrate with Microsoft Purview for metadata capture, lineage, classification,
and business glossary alignment.
Support deployment pipelines across Dev Test
- Prod Fabric workspaces, including CI/CD via Git integration.
- Collaborate with NWTC technical data stewards during sprint ceremonies, UAT, and hypercare.
- Produce technical documentation: source-to-target mappings, pipeline runbooks, and operational handover materials.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 5+ years of data engineering experience, with at least 2 years building on Microsoft Fabric, Azure Synapse, or Azure Data Factory.
- Hands-on expertise with OneLake, Lakehouse, Delta Lake, and Fabric Pipelines / Dataflows Gen2.
- Strong SQL and PySpark / Spark SQL skills for large-scale transformation workloads.
- Proven experience implementing medallion architecture and dimensional (Kimball-style) modeling.
- Working knowledge of Power BI semantic models, DirectLake/Import modes, and dataset refresh orchestration.
- Experience with source system integration patterns: REST APIs, OData, file-based ingestion, and CDC.
- Familiarity with Microsoft Purview, Entra ID, and Fabric workspace security models.
- Robust written and verbal communication; comfortable working directly with client stakeholders.
📌 Microsoft Fabric & Power BI (India)
🏢 Cygnet Global Resources
📍 India