




Job Summary: We are seeking a Senior Data Engineer to build and maintain data infrastructures, ensuring data is accessible, reliable, and optimized for analytics and business decision-making. Key Highlights: 1. Build and maintain accessible and optimized data infrastructures 2. Collaborate with teams to implement robust data solutions 3. Participate in defining standards and best practices in data engineering We are looking for a Senior Data Engineer with experience in **Azure Synapse Analytics, Azure Synapse Data Factory, Azure Data Lake Storage Gen2, and Azure DevOps**, highly qualified and motivated to join our team of experts. As a Data Engineer, you will build and maintain data infrastructures, ensuring data is accessible, reliable, and optimized for analytics and business decision-making. If you are passionate about data, results-oriented, and enjoy solving problems creatively, this could be the perfect opportunity for you! **Responsibilities and Duties:** * Design, build, and maintain scalable and efficient data pipelines, handling large volumes of data from diverse sources. * Develop and optimize ETL/ELT processes to ensure data quality, integrity, and availability. * Collaborate with data scientists, business analysts/POs, and developers to understand data requirements and implement robust solutions. * Manage and monitor data infrastructure, identifying and resolving performance bottlenecks. * Implement and maintain Data Warehouse, Data Lake, and Lakehouse solutions. * Ensure data security and compliance according to data governance and industry regulations. * Document data architectures, pipeline strategies, and processes. * Participate in defining standards and best practices for data engineering. * Automate data engineering-related processes and tasks. * Mentor junior engineers and trainees. **Requirements:** * Degree in Computer Science, Engineering, Information Systems, or related fields. * Minimum of 2 years of experience as a Data Engineer or in a similar role. **Preferred Qualifications:** * Postgraduate degree in Engineering or Data Science or related fields * Certification in the data domain. * Experience working in technology consulting firms. * English proficiency for reading. **Soft Skills:** * Self-motivation and proactivity * Technical curiosity * Collaboration * Attention to detail


