Senior Data Integration Engineer

We are seeking a Senior Data Integration Engineer to join our team supporting data warehouses both in cloud and on-premises and to develop new capabilities. This role focuses on migrating existing on-premises data warehouse functionalities to a Snowflake-based solution and enhancing cloud integration using Azure services. You will work on building scalable ETL solutions primarily on AWS Cloud and Snowflake, while collaborating in design discussions and contributing your expertise. If you have solid experience in data integration and cloud technologies, we encourage you to apply and contribute to our evolving data infrastructure. Responsibilities Design and develop ETL solutions for high-volume data processing in cloud and on-prem environments Support and enhance existing data warehouse functionalities during migration to Snowflake Collaborate in solution design meetings, providing technical input and sharing ideas Implement data integration workflows using Azure Data Lake Storage and related Azure services Maintain and optimize SQL queries for managing complex data structures Develop and maintain Python scripts for data processing and automation Ensure data quality and integrity throughout the integration processes Work closely with cross-functional teams to align data solutions with business requirements Troubleshoot and resolve issues related to data integration and storage Document solutions and processes to support maintenance and knowledge sharing Requirements Proven experience of 3+ years in data integration and engineering Strong knowledge of Azure Data Lake Storage and cloud data services Expertise in Snowflake data warehouse platform and data migration Advanced skills in ANSI SQL including T-SQL and PL/SQL Proficiency in Python programming for data manipulation and automation Experience building high-load ETL solutions on AWS Cloud Familiarity with SSIS for data integration workflows Ability to analyze and design data warehouses and complex data structures Effective participation in technical design and review sessions Strong written and verbal English communication skills (B2+) Nice to have Experience with SSAS for analytical processing Skills in Power BI for data visualization Knowledge of AWS storage services such as S3 Familiarity with AWS Lambda for serverless computing Background in retail business intelligence