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Data Engineer SQL to Microsoft Fabric Modernization/Migration

San Antonio, TX, US • Posted 4 hours ago • Updated 1 hour ago

Contract W2

On-site

DOE

Fitment

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Job Details

Skills

SAP BASIS
Data Flow
Scheduling
Transact-SQL
PySpark
Apache Spark
Microsoft
SQL
Stored Procedures
Migration
Data Validation
Meta-data Management
Data Migration
Technical Writing
Analytical Skill
Conflict Resolution
Problem Solving
Orchestration

Summary

Key Responsibilities
Transform existing SQL stored procedures into Microsoft Fabric notebooks to create Silver-layer tables within the Fabric Lakehouse
Ensure Fabric tables match the corresponding on-premises SQL tables on a one-to-one basis
Design and develop orchestration frameworks using Microsoft Fabric data pipelines
Validate migration artifacts, including reconciliation results and supporting evidence
Develop repeatable validation tests that can run consistently on a daily basis
Perform data reconciliation and validation to verify accuracy, completeness, and consistency between Fabric and on-premises SQL tables
Build and maintain the Silver layer within the Medallion architecture
Work with Microsoft Fabric data flows, data pipelines, Lakehouse structures, orchestration, and scheduling capabilities
Support the migration of SQL logic and stored procedures into Fabric notebooks while maintaining expected functionality and data results
Identify and troubleshoot discrepancies between migrated Fabric tables and on-premises SQL tables
Create and maintain technical documentation describing implemented solutions, processes, migration activities, and validation approaches

Required Qualifications
5+ years of experience
Bachelor's Degree

Skills
SQL
T-SQL
Spark
Microsoft Fabric
PySpark
Spark SQL
Lakehouse Architecture
Medallion Architecture
Microsoft Fabric Data Pipelines
SQL Stored Procedure Migration
Data Validation Frameworks
Metadata Frameworks
Data Migration
Data Reconciliation
Technical Documentation
Analytical Problem Solving
Orchestration Framework Design

Schedule
Start date: 2026-09-28

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: compun
Position Id: SINDC5912440
Posted 4 hours ago

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