Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.
Job Description :
The Data Engineer works as part of an agile team, setting global standards and best practices while working with key stakeholders to implement, monitor and control Data Quality Rules on the Global Data Supply Chain. This role is a key member of a Data Operations team that ensures consistency and control across Data Incident and Data Change Management. The Data Engineer drives best-in-class standards and continuous improvement initiatives across a wide range of teams/disciplines.
The focus of the role will be to help data, which is published by local Data Operations teams, travel through the global supply chain in a manner that is monitored and controlled by D&B’s standards.
Essential Key Responsibilities :
- Develop business requirements by working with key stakeholders and effectively communicate technical requirements to implement teams.
- Work under an ITSM framework, manage, communicate and implement incident and change management tickets.
- Develop, control and maintain Data Quality Rules that can be implemented on Global platforms.
- Collaborate with cross-functional teams to identify data requirements and develop validation and verification procedures to ensure data accuracy and reliability.
- Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage.
Essential Skills :
- Bachelor’s degree in Computer Science or a technology-related field, with 2+ years of work experience.
- Strong knowledge of data transformation processes, exposure to standard and complex datatypes. Knowledge of latest solutions in the market is a plus.
- SQL skills required, Big Query experience preferred.
- Experience using these languages to evaluate data quality, accuracy and completeness is preferred.
- Knowledge of Data Operations methodology and data management approaches is preferred.
- Knowledge of Service Now and/or Jira is an advantage.
- Experience in managing stakeholders and project plans.
- Proficiency in Microsoft Office Suite.
- Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Top Skills
What We Do
For almost 200 years, Dun & Bradstreet has helped clients and partners grow and thrive through the power of data, analytics, and data-driven solutions. Our more than 6,000 employees around the world are dedicated to this unique purpose, and we are guided by important values that make us the established leader in business decisioning data and analytical insights. Our data & insights are valuable at all phases of a business lifecycle and whatever the economic environment.
Why Work With Us
We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.
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