We are seeking a Senior Data Engineer with strong Microsoft Fabric expertise and hands on PySpark skills to lead the migration of analytics and data engineering workloads into the Fabric ecosystem You will assess currentstate platforms design futurestate architecture on Fabric Lakehouse Warehouse Data Factory RealTime Analytics Power BI integration and drive end to end migration performance tuning and operational readiness
Key Responsibilities
Own end to end migration of data pipelines models and analytical workloads into Microsoft Fabric
Assess existing estates eg ADF Synapse Databricks Snowflake on prem and define migration strategy roadmap and cutover plans
Design and implement Fabric Lakehouse architectures DeltaMedallion Warehouses and Data Engineering pipelines using Data Factory Dataflows Gen2 and Notebooks
Build and optimize PySparkSQL code for ingestion transformation and enrichment on Fabric Spark
Establish CICD and DevOps practices for Fabric Git integration environments deployment pipelines
Implement data governance security and compliance workspaces capacities permissions Purview lineage where applicable
Set up monitoring observability and costcapacity management tune pipelines and queries for performance and reliability
Partner with BI teams on Power BI datasetsmodels and ensure performant end to end analytics
Lead testing and validation schema mapping data quality checks reconciliation and coordinate cutover and hypercare
Document architecture patterns and runbooks enable and mentor engineering and analytics teams on Fabric best practices
Engage stakeholders manage risks and communicate progress to technical and business audiences
Required Qualifications
6 years in data engineeringanalytics with a strong track record migrating workloads to up-to-date cloud platfo
📌 Senior Specialist (India)
🏢 LTM
📍 India
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