Data Engineer I (R-17830)

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 .

The Data Engineer I 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.

The Data Engineer I is a key member of a Data Operations team that ensures consistency and control across Data Incident and Data Change Management.

The Data Engineer I drives best-in-class standards and continuous improvement initiatives across a wide range of teams/disciplines.

The focus of the Data Engineer I 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.

• Develop business requirements by working with key stakeholders and effectively communicate technical requirements to implementation 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.

• Strong knowledge of data transformation processes, exposure to standard and complex datatypes.
• SQL and Python skills required, Big Query experience preferred. Experience using these languages to evaluate data quality, accuracy and completeness is preferred.
• Experience building data ingestion and analysis processes on large data sets.
• Knowledge of Data Operations methodology and data management approaches is preferred.
• Knowledge of Service Now and/or Jira is an advantage.
• Additional beneficial experience/skills – Graph database technology, AWS/GCP, NoSQL, SQL Server administration, R, machine learning, web technologies, data mapping from multiple data sources.
• Google Cloud certification a plus.
• 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.

• Bachelor’s degree in Computer Science or a technology-related field, with 2+ years of work experience.
• Master Degree - Preferred

Benefits We Offer

·Generous paid time off in your first year, increasing with tenure.

· Up to 16 weeks 100% paid parental leave after one year of employment.

· Paid sick time to care for yourself or family members.

· Education assistance and extensive training resources.

· Do Good Program: Paid volunteer days & donation matching.

· Competitive 401k with company matching.

· Health & wellness benefits, including discounted Wellhub membership rates.

· Medical, dental & vision insurance for you, spouse/partner & dependents.

Learn more about our benefits: .

All Dun & Bradstreet job postings can be found at and . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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