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Fabric Data Engineer
Fabric Data Engineer
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Fabric Data Engineer

Abey Thomas's profile picture
Posted by Abey Thomas
2 - 8 yrs
₹12L - ₹16L / yr
Remote only
Skills
SQL server
Microsoft SQL Server
Microsoft Windows Azure
skill iconPython
Microsoft Fabric Mirroring
OneLake/Lakehouse
Schema drift detection

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.


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Shubham Vishwakarma

Full Stack Developer - Averlon
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About Thinkgrid labs

Founded :
2021
Type :
Products & Services
Size :
0-20
Stage :
Profitable

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