Fabric Data Engineer (Remote)

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Microsoft Fabric for a US health insurer . This role unlocks fast, reliable Bronze-layer ingestion. You’ll own Fabric Mirroring from SQL Server and other sources into OneLake, manage CDC and schema drift at scale, and design resilient, high-volume ingestion pipelines that teams can trust.

Job Title : Fabric Data Engineer

Location : Remote

Working Hours : 2 PM IST to 11 PM IST

Experience Required : 6–10 years in data engineering; 2+ years on Azure data platforms with hands-on Microsoft Fabric (Mirroring / Lakehouse / Warehouse)

Education : Bachelor’s or Master’s degree in Computer Science, Health Informatics, or Business

Preferred certifications : DP-600, DP-203, DP-500

Who are you?

SQL & CDC Pro :

Strong SQL Server / T-SQL; hands-on CDC or replication patterns for initial snapshot + incremental syncs, including delete handling.

Fabric Mirroring Practitioner :

You’ve set up and tuned Fabric Mirroring to land data into OneLake / Lakehouse; comfortable with OneLake shortcuts and workspace / domain organisation.

Schema-Drift Aware :

You detect, evolve, and communicate schema changes safely (contracts, tests, alerts), minimising downstream breakage.

High-Volume Ingestion Mindset :

You design for throughput, resiliency, and backpressure—retries, idempotency, partitioning, and efficient file sizing.

Python / Scala / Spark Capable :

You can build notebooks / ingestion frameworks for advanced scenarios and data quality checks.

Operationally Excellent :

You add observability (logging / metrics / alerts), document runbooks, and partner well with platform, security, and analytics teams.

Data Security Conscious :

You respect PII / PHI, apply least privilege, and align with RLS / CLS patterns and governance guardrails.

What you will be doing?

Stand Up Mirroring :

Configure Fabric Mirroring from SQL Server (and other relational sources) into OneLake; tune schedules, snapshots, retention, and throughput.

Land to Bronze Cleanly :

Define Lakehouse folder structures, naming / tagging conventions, and partitioning for fast, organised Bronze ingestion.

Handle Change at Scale :

Implement CDC—including soft / hard deletes, late-arriving data, and backfills—using reliable watermarking and reconciliation checks.

Design Resilient Pipelines :

Build ingestion with Fabric Data Factory and / or notebooks; add retries, dead-lettering, and circuit-breaker patterns for fault tolerance.

Manage Schema Drift :

Automate drift detection and schema evolution; publish change notes and guardrails so downstream consumers aren’t surprised.

Performance & Cost Tuning :

Optimise batch sizes, file counts, partitions, parallelism, and capacity usage to balance speed, reliability, and spend.

Observability & Quality :

Instrument lineage, logs, metrics, and DQ tests (nulls, ranges, uniqueness); set up alerts and simple SLOs for ingestion health.

Collaboration & Documentation :

Partner with the Fabric Platform Architect on domains, security, and workspaces; document pipelines, SLAs, and runbooks.

Must-have skills

SQL Server, T-SQL; CDC / replication fundamentals

Microsoft Fabric Mirroring; OneLake / Lakehouse; OneLake shortcuts

Schema drift detection / management and data contracts

Familiarity with large, complex relational databases

Python / Scala / Spark for ingestion and validation

Git-based workflow; basic CI / CD (Fabric deployment pipelines or Azure DevOps)

Benefits

5 day work week

100% remote setup with flexible work culture and international exposure

Opportunity to work on mission-critical healthcare projects impacting providers and patients globally