Senior Data Engineer, Azure

🕒 September 25

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 48 days.
• Jobs at this company usually fill in 47 days.
• No salary listed.

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Argano

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1001 - 5000 employees

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

Consulting • Enterprise • Artificial Intelligence

Argano is a digital transformation and management consulting firm that helps enterprises design and implement high-performance operations. It provides strategy and business consulting, performance consulting, and end-to-end enterprise technology services (cloud migration, application development, ERP and business applications, managed services, and application support). Argano also delivers AI and data capabilities—covering generative AI, agentic AI, AI orchestration and governance, data engineering, data warehousing, and business intelligence—to embed AI into operational workflows. The company partners with major technology vendors (Microsoft, Oracle, SAP, AWS, Snowflake, Blue Yonder, Salesforce, and others) and serves clients across supply chain & logistics, retail/distribution/CPG, manufacturing, healthcare & life sciences, financial services, and construction sectors.

📋 Description

• Develop, deploy, and maintain data pipelines and workflows for data ingestion, transformation, and integration from multiple sources • Build and optimize Lakehouse, Warehouse, and analytics solutions within Microsoft Fabric • Develop data transformation processes using SQL, Python, and PySpark for reporting, analytics, and AI initiatives • Ensure data quality, performance, security, and governance according to Microsoft and industry best practices • Collaborate with architects, developers, analysts, and business stakeholders to deliver data-driven solutions • Participate in Agile/Scrum teams using Azure DevOps and Git for development, deployment, and collaboration • Document data solutions and stay current with Microsoft Fabric, Azure, and modern data engineering technologies • Provide technical expertise and help translate business and technical requirements into scalable, secure, and reliable data solutions • Lead technical discussions, mentor junior team members, and contribute to Argano's data engineering capabilities across client engagements

🎯 Requirements

• Bachelor's degree in Information Technology, Computer Science, or a related technical field • 5+ years of hands-on experience in Data Engineering • 5+ years of experience designing and implementing solutions within the Microsoft Azure Data Platform • Strong experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Factory, Data Engineering, and Real-Time Analytics • Strong experience with Azure SQL Database, SQL Server, T-SQL, Synapse Analytics, and Fabric data solutions • Advanced proficiency in Python, PySpark, and SQL • Experience designing and implementing modern data warehouses, data marts, and enterprise-scale data platforms • Experience building and orchestrating ETL/ELT pipelines for analytical and operational workloads • Experience with dimensional modeling and star schema design • Experience with Git, Azure DevOps, CI/CD pipelines, and Infrastructure as Code concepts • Strong understanding of cloud security, governance, and data management best practices • Experience working within Agile/Scrum teams • Ability to lead technical discussions and mentor junior team members • Microsoft Certified: Fabric Data Engineer Associate (DP-700) • Advanced problem-solving and analytical skills • Strong communication skills to convey technical concepts to non-technical stakeholders • Effective collaboration with cross-functional teams • Ability to provide technical expertise, recommend solution approaches, and guide implementation decisions • Ability to identify technical risks, data quality issues, performance bottlenecks, and opportunities for improvement • Expertise in data architecture and design principles • Advanced knowledge of relational and non-relational databases • Experience optimizing Spark workloads, SQL performance, storage architectures, and large-scale data pipelines

🏖️ Benefits

• Equal-opportunity employer • Remote work arrangement

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