Design and deliver endtoend data solutions using Microsoft Fabric including OneLake Lakehouse Data Pipelines Fabric Notebooks and Power BI semantic models
Build scalable batch incremental and nearrealtime ingestion pipelines from relational filebased API and eventdriven sources
Develop reusable transformations using Python PySpark and SQL with modular patterns for data cleansing enrichment reconciliation and businessrule processing
Implement medallionstyle data architecture using Bronze Silver and Gold layers Delta tables and analyticsready curated datasets
Design dimensional models fact and dimension tables semantic models and governed business metrics for reporting and analytics
Configure data quality checks schema validation deduplication replay backfill and errorhandling patterns to improve pipeline reliability
Implement security and access controls using Microsoft Entra ID RBAC service principals workspace roles leastprivilege principles and appropriate sensitivedata controls
Enable metadata management lineage classification and governance in collaboration with enterprise data governance and security teams
Create CICD and sourcecontrol practices for Fabric artifacts and related data engineering assets using Git or GitHub Actions
Monitor pipeline health troubleshoot production failures perform root cause analysis and tune workloads for performance capacity and cost efficiency
Partner with architects analysts product owners and business stakeholders to translate requirements into secure supportable and welldocumented data products
Contribute to coding standards design reviews peer reviews reusable patterns technical documentation and knowledge transfer
Required Qualifications
3 years of experience in data engineering data platforms analytics engineering or a closely related role
Demonstrated handson experience delivering production solutions with Microsoft Fabric
Solid practical knowledge of OneLake Lakehouse
📌 Microsoft Fabric (Hyderabad)
🏢 LTM
📍 Hyderabad
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