Staff Data Engineer

• Experience in Requirement Gathering, Estimating, Managing large scale Data Engineering Projects.
• Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions.
• Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models.
• Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains.
• Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets.
• Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds.
• Deployment: Implement data strategies and develop physical data models, along with the development teams, data analyst teams and information system team to ensure robust operational data management systems.
• Understanding of and ability to Implement Data Engineering principles and best practices.
• Team Leadership: Lead and mentor a team of data engineers. Coordinate with other teams to manage and prioritize projects. Drive strategy, roadmap, and execution of key data engineering initiatives.
• Stakeholder Management: Collaborate with stakeholders across the organization to understand their data needs and deliver solutions.
• Continuous Integration and Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines for data solutions, ensuring rapid, reliable, and streamlined updates to the data environment.

Technical Skills:

Other Skills:
Strong problem-solving skills.
Excellent communication skills.
Ability to work in a team.
Detail-oriented and excellent organizational skills.

Qualifications:
8+ years of work experience with a bachelor s degree or at least 5+ years of work experience with an Advanced degree (e.g. Master s, MBA, JD, MD) or 3+ years of work experience with a PhD degree
Exposure to Financial Services/ Payments Industry
Proven leadership skills with experience leading a team of data engineers.
Leadership Competencies
Exhibits intellectual curiosity and a desire for continuous learning.
Demonstrates integrity, maturity, and a constructive approach to business challenges.
Role model for the organization and implementing core Visa Values
Respect for the Individuals at all levels in the workplace
Strive for Excellence and extraordinary results.
Use sound insights and judgments to make informed decisions in line with business strategy and needs.
Leadership skills include an ability to allocate tasks and resources across multiple lines of businesses and geographies. Leadership extends to ability to influence senior management within and outside Analytics groups.
Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions.