Sr Support Data Engineer (SQL/SSIS) at OZ

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Sr Support Data Engineer (SQL/SSIS) OZ. Location Information: Argentina - Remote. . We are currently on the lookout for an experienced and highly skilled Senior Support Data Engineer who possesses a wealth of expertise in data integration solutions. This pivotal role necessitates not only strong proficiency in SQL but also a comprehensive understanding of various Data Integration methodologies, including but not limited to . ETL. (Extract, Transform, Load), Replication, and Data Profiling. These skills are crucial for effectively addressing and supporting our diverse business needs and objectives.. Responsibilities:. . Develop, maintain, and optimize SQL code and SSIS (SQL Server Integration Services) packages to ensure seamless data flow and integration.. . Conduct thorough analyses of data to both identify and address new opportunities as well as existing business challenges, thus facilitating informed decision-making.. . Regularly review and assess query performance, implementing necessary optimizations to enhance efficiency and effectiveness in data retrieval and processing.. . Provide critical level support for production systems, ensuring high availability and reliability of data services, while swiftly addressing any issues that arise.. . Meticulously document all processes and methodologies developed, fostering transparency and knowledge sharing within the team and contributing to an environment of continuous improvement.. . Requirements. . +7 years of proven experience in Microsoft (MS) Transact-SQL (T-SQL).. . Working experience with Microsoft BI Tool Suite (SQL Server, SSIS, SSAS, SSRS) or any other ETL/ELT data integration tool.. . Understanding of SQL Server Agent, Integration Services Catalogs, SSISDB Projects and Environments, SSMS, Visual Studio.. . Proficiency in data modeling, data transformation, and ETL/ELT processes.. . Experience with data warehousing.. . Familiarity with data governance best practices and tools.. . Fluent in English.. . Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to create solutions.. . .