Data Engineer - Global Services

Job description

Azure Data Engineer Vacancy @ HSO! 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. We are 100% dedicated to Microsoft technology, with practices that offer our clients a complete set of Microsoft cloud solutions from a single global partner. HSO is a proven global leader with unique delivery capabilities offered from our dedicated Microsoft practices in more than 31 offices across the Americas, Europe, Australia and Asia. HSO is a Gold Certified partner since 2002 and since 2006 has been a part of the Microsoft Dynamics Inner Circle, a prestige reserved for just 1% of Microsoft partners worldwide. Within HSO you’ll work with Microsoft Dynamics 365, Azure cloud platform and our unique, industry-specific solutions. **As an Azure Data Engineer you will be:** Developing and implementing data platforms. Design and build efficient pipelines to get data from different source systems like D365 F&O, CE, SAP and Oracle. Develop data quality and validation procedures to ensure the accuracy and reliability of data. Implement data security and privacy measures to ensure compliance with regulations and industry best practices. Stay up-to-date with the latest Azure and Python technologies and trends and learn and pass relevant Microsoft exams (DP-203: Data Engineering on Microsoft Azure, DP-600 Fabric Analytics Engineer Associate). Requirements Bachelor's degree in Computer Science, Engineering, or a related field and at least 3 years of experience; Knowledge of principles of the Database structures, Data Modelling, ETL and Data Warehousing; Strong command of the English language to be able to communicate well in our international environment; Excellent problem-solving and troubleshooting skills; Strong communication and collaboration abilities; ### Nice to have requirements - Project experience in the Cloud (Azure) with ETL/ELT tools such as Synapse, Azure Data Factory and Databricks; - Experience with CI/CD and DevOps principles; - In-depth knowledge of programming languages such as Python and SQL; ### Can have requirements - Experience with data integration and transformation techniques using tools like Apache Spark or Databricks; - Understanding of machine learning concepts and frameworks is a plus;