




We are looking for an experienced Senior Data Integration Engineer to join our team. As a Senior Engineer with 3\+ years of relevant production experience, you will play a key role in designing, developing, and implementing data integration solutions. You will leverage your expertise in ETL/ELT solutions, Azure Data Lake Storage, Databricks, Azure Data Factory, MySQL, PostgreSQL, MS SQL.SQL, Oracle, SQL, and Python to deliver high\-quality and scalable data integration processes. If you thrive in a challenging environment and have a passion for data integration, we want to hear from you. **Responsibilities** * Lead the design and development of data integration solutions, including ETL/ELT processes and data pipelines * Collaborate with stakeholders to gather and analyze data integration requirements * Provide technical guidance and mentorship to junior team members * Ensure data quality and consistency across integrated systems * Optimize data integration workflows for performance and scalability * Troubleshoot and resolve complex data integration issues * Stay up\-to\-date with industry trends and emerging technologies in data integration **Requirements** * Bachelor's degree in Computer Science, Information Systems, or a related field * 3\+ years of relevant production experience in data integration * In\-depth knowledge of ETL/ELT solutions and data integration best practices * Strong proficiency in Azure Data Lake Storage, Databricks, and Azure Data Factory * Extensive experience with MySQL, PostgreSQL, MS SQL.SQL, and Oracle * Expert\-level skills in SQL and Python for data manipulation and transformation * Solid understanding of data modeling and database design principles * Proven track record of successfully delivering complex data integration projects * Strong problem\-solving and analytical skills * Excellent communication and leadership abilities * B2\+ English level **Nice to have** * Experience with cloud\-based data integration platforms such as AWS Glue or Google Cloud Dataflow * Familiarity with big data technologies like Hadoop and Spark * Knowledge of data warehousing concepts and tools * Understanding of data governance and data management practices * Ability to architect and implement real\-time data integration solutions


