ETL Integration EngineerRole: Python Integration Engineer (Python, SQL, DWH, SSIS)Location: Charlotte NC (hybrid)Duration: 6+ MonthsJob Description:ETL Integration EngineerResponsible for extracting and copying business data and loading it into a data warehousing environment that they have designed.Need to have both design and programming skills as they are also responsible for testing the performance of the system and troubleshooting any problems before it goes liveMust have extensive knowledge of coding languages, especially python and warehouse architecture and be able to clearly communicate your ideas to the company.Must have experience creating highly efficient and customized warehouse environments that perfectly suits the data storage needs of the company.Need strong in Python libraries mainly NumPy and PandasEssential Responsibilities/Duties:Leads the design of the logical data model and implements the physical database structure and constructs and implements operational data stores and data marts.Consulting with data management teams to get a big-picture idea of the company’s data storage needs.Presenting the company with warehousing options based on their storage needs.Designing and coding the data warehousing system to desired company specifications.Develop/Maintain confluence pages to track all data warehouse implementations and specificationsConducting preliminary testing of the warehousing environment before data is extracted.Develops logical and physical data flow models for ETL applications.Translates data access, transformation, and movement requirements into functional requirements and mapping designs.Extracting company data and transferring it into the new warehousing environment.Testing the new storage system once all the data has been transferred.Develop/Maintain data mapping confluence pages based on data hosted by company warehouseTroubleshooting any issues that may arise.Providing maintenance support.Skills:5+ years - Enterprise Data Management5+ years - SQL Server based development of large datasets4+ years with Data Warehouse Architecture, Snowflake experience preferred3+ years’ experience in Finance / Banking industry – some understanding of Securities and Banking products and their data footprints5+ years Python coding experiencePL/SQL Server development experienceExperience with Azure Data Factory and Azure DatabricksDimensional modeling experienceETL tools experience, such as SSISExtensive knowledge of coding languages, including Python, Java, XML, and SQL.Proficiency in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, OLTP, OLAP, Dimensions, Facts, Data modeling and EDW.Proven work experience as an ETL developer.Strong project management skills.Ability to analyze a company’s big-picture data needs.Clear communication skills.Ability to troubleshoot and solve complex technical problems.Modeling tools experience, such as Toad Data Modeler, Erwin, and EmbarcaderoHands-on experience with Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing