Data Engineer

We are seeking a skilled Mid Data Engineer who demonstrates reliability in implementing data pipelines, a solid understanding of core data concepts, and the ability to independently execute well-defined tasks. Main Responsibilities: • Implement data pipelines to support data ingestion and processing. • Design and optimize ETL/ELT processes to ensure efficient data flow. • Collaborate with cross-functional teams to gather data requirements. • Monitor and troubleshoot data workflows to maintain data integrity. • Participate in code reviews and contribute to testing activities. Key Requirements: • Experience with Microsoft tools like Microsoft Fabric, Azure Data Factory, and Synapse, or comparable technologies. • Cloud experience across platforms such as Azure, AWS, or Google Cloud. • Strong programming skills (e.g., SQL, Spark, Python, or other scripting languages). • Robust understanding of ETL/ELT workflows, data architecture, and technical architecture design principles. • Proficiency with version control systems (Git) and code reviews. • Experience troubleshooting coding issues and optimizing workflows. • Code review and testing experience. • A minimum of 3 years of experience in data engineering, with a focus on cloud-native solutions and data architecture. • English language proficiency of at least B2 level. Nice to Have: • DevOps (CI/CD for data) and/or DataOps experience. Other Details: Work model: 2 days per week in the office.