SquadMakers
11 - 50 employees
Founded 2020
🤝 B2B
🎯 Recruiter
☁️ SaaS
B2B • Recruitment • SaaS
SquadMakers is a B2B platform and service provider that helps companies and founders develop software faster and with higher quality by supplying vetted remote development squads. Teams and individual developers are validated through real-world technical challenges and expert reviews, and squads are supported by experienced mentors (an enabling team), a proven Dual-Track Agile delivery methodology, and AI-driven progress and code-quality tracking. SquadMakers also offers project estimation tools, challenge-based hiring assessments, and global hiring/EOR capabilities to scale engineering teams legally and quickly across multiple countries.
Senior Data Engineer – Azure
Job not on LinkedIn
🔥 0 minutes ago
🗣️🇪🇸 Spanish Required
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SquadMakers
11 - 50 employees
Founded 2020
🤝 B2B
🎯 Recruiter
☁️ SaaS
B2B • Recruitment • SaaS
SquadMakers is a B2B platform and service provider that helps companies and founders develop software faster and with higher quality by supplying vetted remote development squads. Teams and individual developers are validated through real-world technical challenges and expert reviews, and squads are supported by experienced mentors (an enabling team), a proven Dual-Track Agile delivery methodology, and AI-driven progress and code-quality tracking. SquadMakers also offers project estimation tools, challenge-based hiring assessments, and global hiring/EOR capabilities to scale engineering teams legally and quickly across multiple countries.
📋 Description
• Design and build modern data platforms on Azure • Transform raw data into reliable, scalable, and analytics-ready foundations • Implement ETL / ELT pipelines (batch and optional streaming) • Build transformations using Python, PySpark, SQL • Orchestrate workflows using Azure tools • Integrate data from multiple sources • Design and maintain data lakes / lakehouse architectures • Implement medallion architecture (bronze, silver, gold) • Build dimensional and analytical models • Support Power BI semantic models • Ensure data usability for reporting and dashboards • Configure and manage Azure data services • Implement data validation rules and pipeline testing
🎯 Requirements
• 5+ years of experience in data engineering • Strong experience with Python, PySpark • Advanced SQL skills • Hands-on with Azure Data Factory, ADLS Gen2, Databricks / Synapse / Microsoft Fabric • Experience with Delta Lake / lakehouse architectures, Medallion architecture, Power BI (DAX + semantic modeling) • CI/CD for data pipelines, Azure Key Vault, data governance / cataloging, performance optimization in Spark or Power BI • Experience in distributed teams • Language Requirements: English (B1–B2 minimum), Spanish (Native / Fluent)
🏖️ Benefits
• Freelance / contractor options • Long-term collaboration opportunity
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