Data Engineer I (R-17233)

Why We Work at Dun & BradstreetDun & 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 and is a hands-on member with source data through to Product deployment and operation.
The Data Engineer I is responsible for the analysis, operation and maintenance of the Data Management processes, creation of new data processes to meet business data requirements, ingestion of new sources of data and delivery against data quality standards.
The Data Engineer I will be across the end-to-end lifecycle of data management, proactively driving and governing our data’s accuracy, integrity, completeness, conformity, and consistency.
The Data Engineer I will perform continuous improvement as a measure of success and drive to deliver improvements across our data lifecycle management.

Key Responsibilities

• Be responsible for the end-to-end operational management of cloud data platform, adhering to required data management and governance practices.
• Develop a variety of database query and visualization tools to identify and understand platform issues or events.
• Perform data quality assessments and implement data cleansing and enrichment processes.
• 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.

Skills and/or Certifications

• Bachelor’s degree in Computer Science or Technology related discipline with at least 2 years of working experience.
• Strong knowledge of data transformation processes, exposure to standard and complex datatypes.
• SQL skills is a minimum requirement, Python is preferred.
• Experience with using these languages to evaluate data quality, accuracy & completeness is preferred.
• Knowledge of DataOps methodology and data management approaches is preferred.
• Experience with cloud data processing, GCP is preferred.
• Experience in managing stakeholders, project plans and JIRA are strongly desired.
• Robust data knowledge preferably around business data sets with proven analytical and quantitative skills.
• Proficiency in Microsoft Office Suite skills.
• 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.

Education:

• Bachelor's Degree Required

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 & Employee Stock Purchase Plan 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: http://bit.ly/41Yyc3d.

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