Job Description This is a challenging opportunity for an experienced Data Engineer to join our team and contribute to the design and implementation of large-scale data warehouse projects. As a key member of our data engineering team, you will work closely with product owners, developers, and stakeholders to deliver high-quality data solutions. Key Responsibilities: 1. Design and implement best-in-class ETL solutions using MS SQL Server BI stack, SQL Server Integration Services, and MS Azure Data Factory. 2. Analyze complex business rules and logic, translating them into technical implementations. 3. Perform data wrangling to merge disjointed data sources and implement complex data transformations. 4. Develop highly optimized data infrastructure for fast querying of large volumes of data, ensuring data quality, security, and compliance requirements are met. 5. Provide proactive support and maintenance to existing ETL solutions to ensure they remain at their best quality. Requirements: 1. Bachelor's degree in a technical field such as computer science, computer engineering, or related field required. 2. 3 years of experience in designing, developing, and deploying large-scale data warehouse projects from end to end. 3. Expert knowledge and hands-on experience with SQL Scripting: 3 years. 4. Expert knowledge working with SQL Server SSIS, Integration Services Catalog, and project deployment and Azure Suite – 3 years. 5. Experience working with Agile methodology – 3 years. 6. Strong English verbal and written communication skills. Nice to Have Skills: 1. Experience working with data warehouse within Google Cloud Platform. 2. Experience in Splunk (SPL). 3. Power BI. Work Environment: Standard office-based environment; non-standard hours are common.