Data Engineer II (R-18820)
About The Position
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. Weâre a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape whatâs next? Join us! Explore opportunities at dnb.com/careers. The Data Engineer II works as part of an agile team, setting global standards and best practices while collaborating with key stakeholders to implement, monitor, and control Data Quality Rules on our data. The Data Engineer II drives best-in-class standards and continuous improvement initiatives across a wide range of teams and disciplines.
Requirements
- Bachelorâs degree in Computer Science or a technology-related field.
- Strong knowledge of data transformation processes, exposure to standard and complex datatypes.
- Knowledge of Data Operations methodology and data management approaches is preferred.
- Strong knowledge of SQL including SQL Server administration (tuning, database design and optimization).
- Experience with a variety of coding tools and languages (SSIS, Go, Python, Git/Bitbucket, APIs, NoSQL).
- Knowledge of Machine Learning and reporting tools (Power BI).
- Understanding of security and version controls.
- 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.
Nice To Haves
- Knowledge of latest solutions in the market is a plus.
- Knowledge of Service Now and/or Jira is an advantage.
- AWS/GCP certification (including cloud environment administration) preferred.
Responsibilities
- Develop and mentor coding standards.
- Implement new data maintenance processes.
- Evaluate and implement recent technology solutions.
- End-to-end process ownership.
- Communicate with stakeholders.
- Conduct knowledge exchange sessions with technical and non-technical audiences.
- Automate manual processes and develop data tools.
- Build new analytical processes, providing insight to data quality issues and implementation of data improvement solutions.
- Build processes to fetch data from open data sources, e.g. websites.
- Research and implement modern data mastering techniques to increase derived insight on disparate data sources.
- Support other data engineers with design of ETL processes, code reviews, and knowledge sharing.
- Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
