Company BackgroundOur client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global 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 DescriptionThe 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.TechnologiesMicrosoft AzureADLS Gen2Azure Data Factory (ADF v2)Azure SQL Managed InstanceWhat You'll DoBuild 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 Requirements5+ 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 for self‑service reporting;Strong understanding of Azure security fundamentals (networking, managed identities, RBAC);Proven experience designing and optimizing data flows using Azure Synapse Analytics, including dedicated SQL pools and serverless querying;English level: B1+ (Intermediate) or higher;Nice to HaveMicrosoft Certified: Azure Data Engineer Associate (DP‑203) or higher;Exposure to Synapse Analytics or Databricks;Knowledge of .NET 6+/C# or Python for custom ADF activities or utility scripts;Experience with cost‑governance / FinOps in Azure;What Do We OfferThe integral benefits package includes:Technical and non-technical training for professional and personal growth;Internal conferences and meetups to learn from industry experts;Support and mentorship from an experienced employee to help you professional grow and development;Health insurance;English courses;Sports activities to promote a healthy lifestyle;Flexible work options, including remote and hybrid opportunities;Referral program for bringing in new talent;Work anniversary program and additional vacation days.

📌 Data Engineer (Agribusiness Software Solutions) (Mérida)
🏢 Coherent Solutions
📍 Mérida