MS Fabric

Royal Cyber Inc.; India; Remote; INR 1,800,000 - 2,400,000; Full time

Job summary

ROYAL CYBER INC is seeking a data engineer to design and maintain Fabric pipelines across bronze, silver and gold layers. You will develop lakehouse tables and Power BI integrations, while ensuring data quality and adherence to governance.

You will operate within a CI/CD and code-review framework and own production fixes with defined SLAs. Required are 6+ years in data engineering, 1+ year Fabric experience, and strong SQL/Python/PySpark skills.

Qualifications

• 6 years' experience in a data engineering role.
• Minimum 1 year of hands-on Microsoft Fabric project experience.
• Strong SQL and Python/PySpark proficiency for pipeline/notebook development.
• Knowledge of medallion architecture (bronze/silver/gold) and CI/CD with code-review.
• Certification is a plus if project experience is shown.

Responsibilities

• Build and maintain Fabric pipelines and notebooks for ingestion and transformation across bronze/silver/gold layers.
• Develop and maintain Lakehouse and Warehouse tables with quality controls and naming conventions.
• Integrate datasets into Power BI models; support Direct Lake mode; adjust DAX/model as approved.
• Participate in Code Review and Deployment via the DevOps pipeline.
• Monitor performance, optimize notebooks/pipelines under guidance, and address defects with SLAs.
• Contribute to root-cause analysis for incidents related to own work.

Skills

SQL

Python

PySpark

CI/CD

Code reviews

Data engineering

Tools

Fabric

Azure DevOps

Git

Power BI

Spark SQL

Job description

Key Responsibilities

Development & Delivery

Build and maintain Fabric pipelines and notebooks for ingestion and transformation across the bronze/silver/gold layers, to designs provided by the Fabric Data Lead.

Develop and maintain Lakehouse and Warehouse tables, ensuring data quality, and following agreed naming and workspace conventions.

Integrate datasets into Power BI semantic models; support and troubleshoot Direct Lake mode implementations; make agreed DAX/model changes under the model approval gate.

Work through the Code Review DevOps pipeline Deployment process.

Monitor and flag CU spikes or performance issues in own workloads; optimizenotebook/pipeline performance under guidance from the Lead.

Fix defects and production hotfixes within agreed SLAs; contribute to root-cause analysis for incidents attributable to own work.

Governance adherence

Keep the asset catalogue, ownership register, and lineage documentation current for all assets the engineer builds or modifies.

Apply data lifecycle/retention rules, row-level security, and sensitivity labelling as defined by the governance framework, without needing to design these frameworks.

Required Experience & Qualifications

• 6 years' experience in a data engineering role.
• Minimum 1 year of hands-on Microsoft Fabric project experience.
• Solid SQL and Python/PySpark proficiency for pipeline and notebook development.
• Working knowledge of medallion (bronze/silver/gold) architecture and its practical implementation.
• Comfortable working within a defined CI/CD and code-review process.
• Relevant Microsoft certification is an advantage, not mandatory if project experience is demonstrated.

Technical Skills

• Fabric pipelines and notebooks (build/maintain)
• SQL, Python, PySpark / Spark SQL
• Lakehouse/Warehouse table development
• Power BI dataset integration and basic DA
• Azure DevOps & Git-based version control
• Understanding of medallion architecture (bronze/silver/gold)
• Exposure to Fabric capacity monitoring and remediation
• Testing framework for Data Pipelines & Notebook