11 часов назад
Senior Engineer (MDM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer (MDM): Building and evolving a scalable Master Data Management platform for cleansing, matching, enriching, monitoring, and managing customer data with an accent on distributed systems, data quality, identity resolution, and cloud infrastructure. Focus on designing Java/Scala and Python/Spark solutions, modernizing applications, improving performance and reliability, and deploying data infrastructure on GCP or AWS.
Location: Dublin, Ireland; hybrid workplace
Company
Dun & Bradstreet provides commercial data and technology solutions, including the D&B Connect Master Data Management platform.
What you will do
- Develop, test, debug, maintain, and support scalable distributed software systems.
- Build and evolve the D&B Connect MDM platform for data cleansing, matching, enrichment, monitoring, and management.
- Design solutions addressing data quality, identity resolution, integration, governance, and real-time and batch workloads.
- Lead application modernization, re-platforming, refactoring, performance optimization, and technical debt reduction.
- Partner with SRE and platform teams to deploy and manage data infrastructure on GCP or AWS.
- Improve quality and operational efficiency through automation, testing, code reviews, incident response, and AI-enabled development tools.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- 8+ years of experience managing and deploying commercial software products.
- Advanced Linux knowledge and experience troubleshooting data and performance issues.
- Strong experience with Java and/or Scala, Python, Spark/PySpark, and scripting languages.
- Experience with large-scale distributed systems and a broad range of GCP or AWS services.
- Experience with Maven, GitHub, Jenkins, Terraform, AI development tools, continuous improvement, mentoring, and knowledge sharing.
Culture & Benefits
- Work in an established scrum engineering team with product, data, platform, business, and technical stakeholders.
- Take end-to-end ownership of applications, including customer-impacting incident response and post-incident reviews.
- Support continuous learning, professional development, mentoring, and knowledge sharing.
- Use AI tools such as GitHub Copilot, Cursor, ChatGPT, Gemini, or Claude to improve development and operational productivity.
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