Senior Data Engineer

Responsibilities

• Design, build, and maintain production-grade ETL/ELT pipelines using SQL, Python, PySpark, and Spark SQL
• Own end-to-end data pipelines from ingestion through curated, analytics-ready datasets
• Collaborate with Lead Engineers and Data Architects on on-prem to cloud migration initiatives
• Build and operate solutions across hybrid data platforms, including SQL Server, Azure Synapse, and Microsoft Fabric
• Develop and maintain Fabric Lakehouses, Warehouses, Pipelines, and Notebooks
• Optimize workloads for performance, reliability, and cost efficiency
• Implement data validation, reconciliation, monitoring, logging, and alerting
• Mentor junior data engineers through code reviews and best practice sharing
• Apply disciplined engineering practices including version control, CI/CD, and testing

Requirements

• 7+ years of experience in Data Engineering, Analytics Engineering, or a related technical role
• Strong hands-on experience with SQL, Python, PySpark, and Spark SQL in distributed environments
• Proven experience building and supporting enterprise-scale ETL/ELT pipelines in the cloud
• Strong experience with Azure-based data platforms, including Azure Synapse Analytics and/or Microsoft Fabric
• Solid understanding of cloud-native data architectures and medallion architectures
• Experience with Git-based source control, CI/CD pipelines, and automated testing

Preferred Qualifications

• Hands-on experience with Microsoft Fabric Lakehouse and Spark workloads
• Experience with Azure Data Factory, Fabric Pipelines, or orchestration tools
• Familiarity with data governance, lineage, and certification in cloud platforms
• Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Fabric Analytics Engineer

About the Company

SOTI is a proven innovator and industry leader for simplifying business mobility solutions by making them smarter, faster, and more reliable. With over 17,000 customers globally, SOTI provides the go-to mobile platform to manage, secure, and support business-critical devices.