Data Engineer with DBT

IntroductionAt IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.Your Role And ResponsibilitiesAs a Data Engineer, you will design, build, and maintain large-scale data systems, focusing on data warehousing, ETL, and data modeling. You will work closely with cross-functional teams to develop and optimize data pipelines, ensuring data quality and integrity. Your responsibilities will include building and maintaining data architectures, collaborating with stakeholders to identify data requirements, and developing data models using Data Vault 2.0 in DBT on Snowflake.Preferred EducationBachelor's DegreeRequired Technical And Professional ExpertiseProficiency in Python programming languageExperience with DBT for data transformation and modelingStrong understanding of SQL and PL/SQLExperience with Snowflake or similar cloud-based data warehousing platformsKnowledge of Data Vault 2.0 data modeling principlesFamiliarity with Git version control systemPreferred Technical And Professional ExperienceExperience with Azure cloud servicesKnowledge of data engineering best practices and design patternsFamiliarity with data quality and data governance principlesExperience with data pipeline automation and optimizationUnderstanding of cloud-based data security and access control principles