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

Microsoft Azure

ADLS Gen2

Azure Data Factory (ADF v2)

Azure SQL Managed Instance

What You'll Do

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

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 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 Have

Microsoft 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 Offer
The global 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) (Benito Juárez)
🏢 Coherent Solutions
📍 Benito Juárez