HSO
1001 - 5000 employees
Founded 1987
We help companies modernize business operations, adopt intelligent automation, deliver real-time performance insights and connect the enterprise – accelerating the impact of digital transformation. Founded in 1987 and recognized as a trusted advisor, HSO is one of the world’s top business solution and implementation partners, large enough to serve, small enough to care.
Technical Data Lead – Fabric, Azure
🔥 21 minutes ago
Where this job comes from
Posted on HSO's careers page, not through a job board
First seen by Remote Rocketship 21 minutes ago
HSO
1001 - 5000 employees
Founded 1987
We help companies modernize business operations, adopt intelligent automation, deliver real-time performance insights and connect the enterprise – accelerating the impact of digital transformation. Founded in 1987 and recognized as a trusted advisor, HSO is one of the world’s top business solution and implementation partners, large enough to serve, small enough to care.
📋 Description
• Lead the design and development of enterprise-grade data engineering solutions using Microsoft Fabric and Azure • Design scalable and reliable data pipelines for batch and real-time data processing • Develop and optimize ETL/ELT processes using modern Azure and Microsoft Fabric technologies • Work extensively with Microsoft Fabric Data Factory, Lakehouse, Data Warehouse, OneLake, and related Fabric components • Design and implement solutions using Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, and other Azure data services • Develop data ingestion, transformation, cleansing, and integration processes from multiple source systems • Implement data models and data warehouse solutions supporting analytics and reporting requirements • Optimize data pipelines, queries, storage, and processing performance • Establish data quality, security, governance, and monitoring practices • Collaborate with Data Architects, Solution Architects, BI Developers, and business stakeholders • Provide technical leadership and mentoring to data engineering teams • Participate in solution design, estimation, code reviews, troubleshooting, and production support
🎯 Requirements
• 10+ years of relevant Data Engineering / Data Platform development experience • Microsoft Fabric and Microsoft Azure are mandatory requirements • Strong hands-on experience with Microsoft Fabric Data Factory • Hands-on experience with Fabric Lakehouse and Fabric Data Warehouse • Strong understanding of OneLake • Experience with data pipelines, notebooks, and Dataflows Gen2 • Experience with Fabric architecture, workspace management, data ingestion, transformation, and optimization • Strong hands-on experience with Azure Data Factory (ADF) • Experience with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, Azure Databricks, and Azure Storage • Experience with Azure Functions / Logic Apps, Azure Key Vault, monitoring, and security services • Strong SQL and database development skills • Experience with Python and/or PySpark • Strong understanding of ETL/ELT and data pipeline development • Experience with data warehousing, dimensional modelling, and Lakehouse architecture • Knowledge of batch and real-time data processing • Experience with APIs and structured and unstructured data sources • Experience with Git, CI/CD, and DevOps practices • Knowledge of data security, governance, lineage, and data quality • Experience troubleshooting and optimizing complex data pipelines • Proven ability to lead technical discussions and data engineering initiatives • Ability to translate business requirements into scalable technical solutions • Strong stakeholder management and communication skills • Experience mentoring data engineers • Ability to work independently in a remote environment • Strong analytical and problem-solving capabilities • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field • Available to join immediately or within 30 days
🏖️ Benefits
• Remote / Work From Home opportunity • Opportunity to work on global enterprise data and cloud transformation projects • Work with modern Microsoft technologies including Microsoft Fabric and Azure • Exposure to international clients and large-scale data platforms • Opportunity to work with a highly skilled and collaborative technology team
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