We are looking for a **Senior Data Integration Engineer** with extensive expertise in designing and optimizing data integration systems. In this position, you will work closely with cross\-functional teams to establish efficient workflows that seamlessly connect systems and support business goals. This role offers the chance to contribute to impactful projects in a fast\-moving and innovative environment. **Responsibilities** * Create and deploy data integration solutions that meet organizational requirements * Collaborate with teams across the organization to define needs and develop integration plans * Monitor and improve data workflows to ensure reliability and optimal functioning * Prepare and maintain detailed documentation for integration processes and system designs * Maintain data security and ensure adherence to regulatory and compliance standards * Participate in code reviews to ensure high\-quality development practices * Stay updated on emerging trends and technologies relevant to data integration * Contribute to the refinement of tools, workflows, and processes to enhance team performance **Requirements** * Bachelor's or Master's degree in Computer Science, Information Technology, or a related area * At least 3 years of professional experience in data integration or related roles * Comprehensive understanding of SDLC methodologies and their practical use in projects * Proven experience implementing SDLC processes in real\-world applications * Strong knowledge of Agile development workflows and practices * Advanced skills in SQL for database querying and management * Experience with NoSQL databases and related technologies * Practical expertise in CI/CD tools and pipeline setups * High\-level English proficiency in both written and spoken communication, at B2\+ or higher **Nice to have** * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud * Hands\-on experience with ETL tools for data extraction, transformation, and loading * Knowledge of API development and integration concepts * Exposure to big data technologies like Hadoop or Spark * Relevant certifications in areas such as data engineering or cloud computing