Senior Data Engineer

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Latino Legends

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🎯 Recruiter

👥 HR Tech

Recruitment • HR Tech

Latino Legends is a recruitment platform and talent marketplace focused on connecting Latin American professionals with remote job opportunities worldwide. The company operates a candidate portal that offers transparent application tracking, profile management, and real-time notifications, and it supports employers by sourcing and placing Latin American talent across a range of remote roles and industries. Latino Legends emphasizes showcasing Latin American skills and helping candidates access global opportunities while managing the hiring process for employers.

📋 Description

• Design and configure Microsoft Fabric workspace topology across development, staging, and production environments • Define and implement OneLake structure, storage patterns, and capacity sizing • Establish Bronze landing zone standards, including: Parquet / Delta formats, Partitioning strategy, Schema-on-read patterns, Raw payload preservation • Build and manage Data Factory pipelines, including: Scheduling conventions, Dependency graphs, Backfill processes • Configure and maintain native Microsoft connectors for key business systems (e.g. Salesforce, Dataverse, and similar platforms) • Define and document per-source extraction specifications across approximately 24 operational systems • Partner with downstream analytics stakeholders to define the Bronze-to-Silver / warehouse consumption contract • Manage schema evolution, time-travel configuration, and table optimization / retention strategies • Produce as-built documentation, handoff materials, runbooks, and architecture references • Lead an audit of the existing Fabric tenant and ingestion setup during the initial phase of the engagement

🎯 Requirements

• 7+ years of experience in data engineering • 2+ years of hands-on Microsoft Fabric experience (or equivalent direct lakehouse platform ownership, though Fabric experience is strongly required) • Strong experience building and operating data ingestion pipelines and warehouse landing zones • Deep understanding of medallion architecture , especially Bronze / landing layer design • Advanced knowledge of: Delta Lake / Parquet, Schema evolution, Partitioning, Time travel, OPTIMIZE / VACUUM and related maintenance patterns • Experience with CDC / change data capture patterns from systems such as SQL Server, PostgreSQL, or similar event/change-streaming setups • Expert-level SQL skills, including T-SQL and Spark SQL • Strong understanding of data warehouse schema design, naming conventions, and data contract design • Ability to create clear technical documentation, including: ingestion specifications, architecture diagrams, handoff documents, runbooks