About the Role We are seeking a skilled Data Engineer to join our team. The ideal candidate will have experience in designing and implementing data solutions using SQL, NoSQL, and lakehouse concepts. The successful candidate will work closely with analysts and business stakeholders to understand data requirements and collaborate with cross-functional teams to integrate data solutions with other systems and applications. - Design and implement data solutions that are scalable, reliable, and secure. - Develop data models, data flows, and data integration architectures. - Ensure data solutions meet business requirements and align with best practices. - Develop and manage data pipelines to ingest data from various sources into Azure. - Utilize Azure Data Factory, and other Azure services to integrate, transform, and load data. - Implement security measures to control access to data and ensure that users have the appropriate permissions. Requirements The successful candidate will have: - Demonstrated experience in analyzing complex business and technical needs to develop data architecture & solutions. - Excellent communication skills to articulate complex data concepts to diverse stakeholders. - Strategic thinker with strong problem-solving and analytical skills. - Expertise & experience in: - Data solutions development using SQL, NoSQL, and lakehouse concepts; - Data integration, processing and transformation (ETL, ELT, data pipeline orchestration, real-time data processing, ingesting streaming data); - Data modeling, optimization & tuning; - Data security and data privacy compliance such as role-based security, access control & identity management, auditing and encryption practices; - API management tools such as Azure API Management, Postman, or Swagger; - Master data management using Profisee software; - Management of data estate using Purview software; - Related Azure services such as Microsoft Fabric, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, ADF, etc; - Containerization tools, orchestration, deployment; - Data quality management and monitoring; - Full data lifecycle management. Benefits This is an opportunity to grow professionally in an environment that fosters continuous learning and advancement. Why Choose Us? We offer a collaborative culture and competitive compensation package.