
Enterprise Data Platform Developer
1 week ago
The Universal Data Catalog is a comprehensive metadata management platform designed to provide a centralized repository for all data-related information across the organization. This platform enables efficient data discovery, governance, and utilization by offering detailed metadata definitions for tables, columns, and other data assets.
Key Responsibilities:
- Develop and maintain the Enterprise Data Catalog platform, ensuring it meets the organization's evolving needs.
- Implement and manage metadata ingestion processes to ensure the catalog is up-to-date with the latest data definitions and business context.
- Collaborate with data stewards, data owners, and other stakeholders to enrich metadata with business definitions, data lineage, and usage context.
- Enhance the catalog's search and discovery capabilities to provide users with intuitive and efficient access to data assets.
- Integrate the data catalog with other enterprise systems and tools to support data governance, data quality, and analytics initiatives.
- Monitor and optimize the performance of the data catalog to ensure scalability and reliability.
- Provide training and support to users on how to effectively leverage the data catalog for their data-related needs.
- Actively collaborate with the open-source community to contribute to and leverage the latest advancements in the Datahub project.
- Analyze industry best practices and keep the catalog functionality up-to-date with feature sets provided by the market, while focusing on Visa's scalability requirements.
- Champion the adoption of open infrastructure solutions that are fit for purpose while keeping technology relevant.
- Work collaboratively with cross-functional teams to identify and prioritize business needs, and develop effective solutions to meet those needs.
Basic Qualifications:
- 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Preferred Qualifications:
- 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
- 10 yrs+ of experience in architecture design and development of large-scale data management platforms and data application with simple solutions.
- Must have extensive hands-on coding and designing skills on Java/Python or MVC (model-view-controller) for end-to-end development, SQL/NoSQL technology, Web Services (REST/ SOAP/gRPC), React/Angular for front-end (UI front-end nice to have).
- Expertise in design and management of complex data structures and data processes.
- Deep knowledge and hands on experience on big data and cloud computing technologies.
- Strong service architecture and development experience with high performance and scalability.
- Technical background in data with deep understanding of issues in multiple areas such as data acquisition, ingestion and processing, data management, distributed processing, and high availability required.
- Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology.
- Bachelor's degree in computer science or related technical discipline required. Advanced degree is a plus.
- Strong leadership and team player.
- Strong skills on mentoring/growing junior people.
- Payment industry experience is a plus.
- Experience with ETL/ELT tools / applications.
- Experience with Apache NiFi and Apache Spark for processing large data sets.
- Experience on Elastic Search.
- Knowledge on Data Catalog tools.
- Experience in building Data Pipeline development tools.
- Experience with Data Governance and Data Quality tools.
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