In this role, you will:
- Lead moderately complex initiatives and deliverables within technical domain environments
- Contribute to large scale planning of strategies
- Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
- Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
- Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
- Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Required Qualifications:
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- self-motivated/self-directedand demonstrate high proficiency in Data Analysis, Data Engineering, SQL, Stored Procedures, Big Data, Python. The individual will support and assist in the analysis and design of complex technical solutions including maintaining and modifying new and existing application modules, creating necessary design documentation, participating in code review, researching production issues, test support issues etc.
- 4+ years’ experience of Data Warehousing and ETL
- Deep understanding of Data warehousing concepts.
- 4+ years’ experience in writing complex SQLs
- Great analysis and design skills: the person is expected to analyze the existing data and flow of data from one area to another and come up with an optimal approach to migrate the functionality to modern platform
- 2+ years’ experience in working with Oracle PL/SQL procedures
- Good exposure to Big Data technologies like NetApp grid storage, S3, Hadoop.
- Strong debugging, problem solving and investigative skills. Ability to assimilate disparate information (log files, error messages etc.) and pursue leads to find root cause problems.
- Willingness to upskill to the latest technology stack including Python, PySpark
- Extensive Business and/or technical background in the areas of Data modeling, Data Mart, Master Data Management, Metadata management, Data Quality, Data Governance, Data integration (ETL) and Data Security
- Define data profiling and analysis criteria and development of data quality metrics
- Proficiency in Linux and shell scripts, job scheduling.
- Excellent verbal, written, and interpersonal communication skills
Job Expectations:
- Banking/ Financial Services Experience
- Experience with Agile delivery methodology
- Good analytical & debugging skills with high attention to detail and accuracy
- Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations
- Database query design and optimization
- Strong organizational, multi-tasking, and prioritizing skills
- Ability to drive the requirements process with both technical and business partners
- Ability to be flexible and adjust plans quickly to meet changing business needs
12 Mar 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.