Company Background
Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading integral software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.

Project Description
The project focuses on owning the end-to-end data flow for the client’s Data Analytics Platform (DAP). The platform ingests structured data (XML/JSON) into Azure Data Lake, orchestrates transformations using Azure Data Factory, and models curated data in Azure SQL Managed Instance with read-only replicas for reporting.

Technologies

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- Microsoft Azure
- ADLS Gen2
- Azure Data Factory (ADF v2)
- Azure SQL Managed Instance

What You'll Do

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- Build and maintain ADF pipelines to ingest XML/JSON data into ADLS Gen2, including schema mapping, cleansing, and incremental loads;
- Design and optimize data models in Azure SQL Managed Instance (indexes, partitioning, read-only replicas);




- Configure and test backup, geo-replication, and disaster recovery strategies (RPO/RTO);
- Automate infrastructure and deployments using Infrastructure-as-Code and CI/CD pipelines;
- Provision and support datasets for self-service BI and reporting;
- Implement monitoring, alerting, and cost-optimization dashboards;
- Continuously tune platform performance, reliability, and cost efficiency;

Job Requirements

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- 5+ years of experience designing and building data solutions on Microsoft Azure;
- 2+ years of hands-on experience with ADLS Gen2 and Azure Data Factory (ADF v2);
- Expert-level T-SQL skills and performance tuning on Azure SQL Managed Instance or SQL Server;
- Hands-on experience with Infrastructure-as-Code (Bicep or Terraform) and CI/CD;
- Proven experience with backup, geo-replication, and disaster recovery in Azure;
- Familiarity with BI ecosystems (Power BI, Luzmo, Tableau) and provisioning datasets

📌 Data Engineer (México)
🏢 Coherent Solutions
📍 México