Wells Fargo is seeking a Data Engineer to help with modernization and migration efforts as Wealth & Investment Management Technology (WIMT) seeks to build and modernize a robust cross-product data warehouse leveraging Oracle and Informatica.
Requirements
- 2+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Experience with Data Integration & ETL tooling, (experience with Informatica is a plus)
- Experience with UNIX Shell or Python scripting
- Experience with ETL scheduling and orchestration, (AutoSys preferred)
- Experience with CI/CD tooling and DevOps practices
- Experience with GitHub, Jenkins, Artifactory, Udeploy and Liquibase
- Knowledge of modern testing practices
Responsibilities
- Participate in data warehouses across multiple databases and identify opportunity for developing table schemas within the Technology and Date area
- Review and analyze basic data management business, operational, or technical assignments or challenges that require research, evaluation, and selection of alternatives and exercise independent judgment to guide medium risk deliverables
- Present recommendations for resolving more complex data management situations and exercise independent judgment while developing expertise in the business data policies, procedures and compliance requirements
- Collaborate and consult with technology colleagues, internal partners and stakeholders, including internal and external customers if applicable
Other
- Ability to work additional hours as needed
- Position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
- Relocation assistance is not available for this position
- Strong analytical skills with high attention to detail and accuracy
- Excellent verbal, written, and interpersonal communication skills
