Your Role
As an Azure & Microsoft Fabric Lead Developer, you will lead the design and development of enterprise‑grade data pipelines, lakehouses, and analytics solutions using Azure Data Services and Microsoft Fabric for client program. You will be responsible for building scalable ingestion, transformation, governance, and reporting layers aligned to client standards, workforce analytics requirements, and Trust‑level data governance.
You will collaborate closely with architects, SMEs, BI developers, data engineers, platform teams, and external partners (Microsoft) to ensure high‑quality delivery of modern analytics platforms.
Required
- Proven experience designing and developing solutions using Microsoft Fabric:
- Lakehouse
- Dataflows Gen2
- Warehouse (SQL Endpoint)
- OneLake governance
- Ability to translate business requirements into technical architecture and detailed design.
- Expertise in building scalable ingestion frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines.
- Strong programming skills in PySpark, SQL, Python.
- Hands‑on experience with DQ frameworks, validation rules and reconciliation logic.
- Ability to integrate Azure/Fabric datasets with Power BI semantic models and dashboards.
- Experience building reusable datasets for Client domains such as HR, Payroll, Workforce, Clinical, or Operational reporting.
- Experience with CI/CD using Azure DevOps (Repos, Pipelines, Release Management).
- Ability to work with data architects, platform teams and product owners to deliver high‑quality designs.
Preferred
- Experience delivering technology programs within healthcare organizations in Data.
- Experience delivering analytics in Microsoft Fabric for enterprise-scale healthcare clients.
- Experience with Fabric Admin Center, OneSecurity model, Capacity planning.
Certifications
- Fabric Analytics Engineer Associate
- Azure Solutions Architect / Databricks certifications
- Exposure to secure landing zones, data masking, PII handling, and access governance.
Infosys is proud to be an equal opportunity employer.
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