Description
As a Sr. Data Engineer at Visa, you will collaborate with stakeholders to identify and clarify requirements for data-driven features and products. You will independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features.
Key Responsibilities:
- Collaborate proactively with stakeholders to clarify requirements and identify key product stakeholders.
- Review technical requirements, escalate potential design issues, and create component designs and documentation.
- Implement code, apply coding patterns and best practices, and adhere to security requirements.
- Participate in code reviews, apply feedback, and take ownership of data products or pipeline components.
- Conduct unit testing, coding standards, and security scans; participate in user acceptance testing.
- Build tools and simple automation processes for transforming, managing, accessing, deploying, and monitoring data processes.
- Create queries to extract and compile raw data, implement orchestration techniques, and validate data quality.
- Ensure adherence to data management principles, governance, and performance monitoring protocols.
- Contribute to troubleshooting guidance and procedures for reviewing and fixing problems flagged by testing.
- Address routine client requests requiring technical knowledge and support software upgrades and server patches for security remediation.
Qualifications:
- 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.
- Experience in collaborating with cross-functional teams to clarify requirements and define technical solutions.
- Experience in designing and documenting technical components for data products or pipelines.
- Experience in implementing code and applying coding standards and security requirements.
- Experience in conducting unit testing and participating in user acceptance testing.
- Experience in building automation tools for data processes.
- Experience in creating queries and implementing data extraction and transformation techniques.
- Experience in ensuring data quality and performance monitoring.
- Experience in troubleshooting and resolving pipeline issues.
- Experience in supporting software upgrades and security remediation.