Data Integration Developer - Salesforce

Your Opportunity

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, this organization has a preferred candidate identified for this role.

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

STS Description

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.

Organization / Role Description

This role in the Sales Service and Marketing Technology organization offers greater responsibility in designing solutions, developing advanced approaches, leading development projects, and supervising both development and QA resources. Additionally, it provides more opportunities to mentor junior staff and engage with emerging technologies as the organization pursues modernization and efficiency to keep up with ongoing business needs.

What you have

1. Build solutions and when asked to design solutions
2. lead development efforts
3. Mentor and/or train junior resources
4. Interface with BSAs, product owners and other key individuals
5. Expand view and participation beyond the current sprint by participating in quarterly planning and other bigger picture activities.

Ideal Candidate Profile

Required Qualifications

•           2-5 years of hands on Informatica experience:  Power Center 10.4 and IICS
•           2-5 years experience with database solutions: Oracle or SQL Server
•           3-5 years Data analysis
•           1+ years experience with Tableau or Power BI
•           Demonstratable experience with data profiling
•           Data Management experience          
•           Knowledge of RDBMSs and Data warehouse and other methodologies
•           Unix Shell Scripting
•           Experience with:
                 Confluence for documentation and o        Jira for Agile story and work management
                 Control-M for Job scheduling software

Preferred Qualifications

What experience and skills are DESIRED, but are not REQUIRED to perform this role today?

Technical nice-to-haves (bullet points)

▪ Evaluates moderately complex problems by analyzing data and spotting trends
▪ Keeps others informed about workstream developments and updates
▪ Applies business intelligence and industry insights to support decision making
▪ Enables others to make decisions within their scope
▪ Contributes ideas for new approaches or technologies within a defined scope
▪ Acts with integrity, responsibly handles information, and communicates with accuracy
▪ Crafts impactful messages tailored to audience needs, persuading desired actions
▪ Sets challenging goals, monitors progress, and applies problem-solving techniques
▪ Delivers high-quality work with minimal revisions by adhering to standards

Job Sub-Family Specific Competencies

• Agile Principles and Practices – Applying Agile principles and practices, focusing on iterative development, collaboration, and flexibility to deliver value to customers efficiently.

• Data AnalysisData AnalysisData AnalysisAgile Principles and Practices - Applying Agile principles and practices, focusing on iterative development, collaboration, and flexibility to deliver value to customers efficiently.

• Data Analysis - Deriving insights from data sets that enable informed decision making and action toward organizational effectiveness and efficiency

• Data Engineering Fundamentals - Strategically managing and operationalizing data pipelines and storage systems for data mining, analytics, and machine learning, prioritizing compliance, security, and scalability

• Data Management – Strategizing, optimizing, and governing data assets through comprehensive management practices

• Data Visualization Techniques – Conveying insights through visual representations to inform decision making

• Software Design and Specifications – Developing software solutions that meet requirements using established design principles and standards, employing predictive or adaptive design techniques, including plan-driven or iterative/agile approaches