**Introduction** Build and/or maintain data extraction, transformation, load (ETL) processes and data framework in various data base environments • Apply and enhance the Machine Learning solutions developed for data enrichment • Support various client engagements that may require development of new reports, dashboards, creating new ETL processes, data modeling • Supporting various projects, requests requiring text mining and deep understanding of the structure and content of data warehouses and processes • Supporting technical tasks, projects ie. changes to interfaces between source systems and data warehouse • Provide clients with data on ad hoc or regular basis by writing queries and/or using data mining tools for extracting data **Your role and responsibilities** Build and/or maintain data extraction, transformation, load (ETL) processes and data framework in various data base environments • Apply and enhance the Machine Learning solutions developed for data enrichment • Support various client engagements that may require development of new reports, dashboards, creating new ETL processes, data modeling • Supporting various projects, requests requiring text mining and deep understanding of the structure and content of data warehouses and processes • Supporting technical tasks, projects ie. changes to interfaces between source systems and data warehouse • Provide clients with data on ad hoc or regular basis by writing queries and/or using data mining tools for extracting data **Required technical and professional expertise** SQL programming language • Python programming language • Data modeling & ETL skills • Proficient in English, written and spoken • Attention to detail • Proactiveness • Basic statistics & data literacy **Preferred technical and professional experience** Familiar with data visualization tools, like Cognos Analytics, Power BI or Tableau • IBM DB2 data warehouse on Cloud • Text mining experience • Distributed computing framework experience (i.e. Spark) IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.