Data Engineer (Santo Domingo)

• 3+ years professional experience in a database-focused engineering role (Data Engineer, Database Developer, or similar)
• Strong T-SQL — stored procedures, CTEs, window functions, temp tables, TVPs, dynamic SQL where it's warranted
• Demonstrable query optimization skills: reading execution plans, index design, and diagnosing slow queries at volume
• Relational schema design — normalization, keys, constraints, soft-delete and status-flag patterns, slowly-changing/point-in-time data
• Experience with SQL Server or Azure SQL in production
• Hands-on data integrity work — constraint and referential-integrity design, duplicate and orphan detection, and writing validation queries that prove a dataset is sound
• Experience working across multiple database environments and promoting schema changes between them
• Experience with database packaging/deployment tooling — SqlPackage, DACPAC, SSDT, Flyway, Liquibase, or equivalent
• Experience building or maintaining data pipelines / ETL processes
• Comfortable working with large datasets and reasoning about correctness, not just output
• Adaptable across products and domains — you've worked on more than one system and can context-switch without losing rigor
• Version control discipline for database objects (Git, migration scripts, or database projects)
• Able to read enough C# or another application language to understand how your data layer is consumed
• Microsoft Fabric experience — Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, OneLake, or Power BI semantic models
• SQL Server Database Projects (SSDT / .sqlproj) and SqlPackage/DACPAC publishing in a CI/CD pipeline
• Azure SQL specifics — DTU/vCore tuning, Query Store, elastic pools, managed identity authentication
• Azure Storage — Queues, Tables, and Blobs as part of a data pipeline
• Experience in domains where output must reconcile exactly and a wrong number has real consequences
• High-volume event or transactional data processing experience
• Point-in-time / temporal data modeling (values and configuration that must be resolved as of a historical timestamp)
• Azure Data Factory, SSIS, or equivalent orchestration tooling
• Dapper or micro-ORM data access patterns
• Azure DevOps (Pipelines, Boards, Repos)
• Python or PowerShell for data tooling and one-off analysis

What We Value

• Clear, direct communication — say what you mean, flag problems early, ask questions when something is unclear
• Verifying against the real object — read the deployed procedure, run the query, check the plan; don't trust documentation or assumptions about what the data does, and don't assume one instance matches another
• Fixing problems at the source instead of working around dirty data downstream
• Challenging risky or incorrect decisions instead of silently going along
• Treating data output as something that must be provably correct, with a query that demonstrates it
• Curiosity across the whole portfolio — willingness to learn a new domain rather than staying in one comfortable corner
• Pragmatism over over-engineering — solve the problem at hand without gold-plating

In order to apply, please submit your CV in English

• Database: Azure SQL, T-SQL, stored procedures, table-valued parameters (TVPs), user-defined functions, temp-table staging patterns, query plan analysis
• Packaging & Deployment: SQL Server Database Projects (.sqlproj / SSDT), SqlPackage and DACPAC publishing, schema compare and drift detection, versioned migration scripts, multi-instance (dev / staging / prod) deployment
• Data Movement & Analytics: Azure Storage Queues, Azure Table Storage, Azure Blob Storage, Azure Functions, queue drainer services, bulk upsert/apply patterns, Microsoft Fabric (Lakehouse / Warehouse / Data Factory pipelines / Power BI semantic models), CSV/Excel export generation
• Consuming Layers: ASP.NET Core (.NET 8) with Dapper, C# — enough to read and reason about how your procedures are called
• Infrastructure: Azure (SQL Database, Storage, Key Vault, Application Insights), Azure DevOps Pipelines, sqlcmd / Azure Data Studio / SSMS, Entra ID authentication