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
Strong practical knowledge of OneLake Lakehouse Data Pipelines Fabric Notebooks and Power BI semantic models
Advanced development skills in Python PySpark and SQL including performance tuning and troubleshooting
Experience designing ETLELT pipelines Delta Lake or equivalent lakehouse patterns and dimensional data models
Experience with data quality observability logging ing and production support for enterprise data pipelines
Experience implementing identity access control secrets management and secure servicetoservice connectivity in Azure environments
Working knowledge of Gitbased version control and automated deployment practices for data platform assets
Strong communication skills and the ability to work effectively with technical and business stakeholders
Preferred Qualifications Microsoft Certified Fabric Data Engineer Associate or an equivalent Microsoft data certification
Experience with ADLS Gen2 or Azure streaming services
Experience with Delta Lake Kafka Event Hubs Fivetran or comparable ingestion and transformation technologies
Experience implementing data cataloging lineage classification privacy controls and regulatory datagovernance requirements
Experience with Terraform and broader DevSecOps practices
Exposure to crosscloud data platforms such as Snowflake and AWS is beneficial