Dun & Bradstreet

business decisioning data and analytics

DataEngineerII

Hyderabad, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer II at Dun & Bradstreet. Skills: Data Quality Rules, ETL processes, Python, SQL. Database administration. Develop coding standards”

What You'll Achieve.

Setting global standards; Implementing, monitoring, and controlling Data Quality Rules; Driving best-in-class standards; Continuous improvement initiatives; Increase derived insight into disparate data sources; Driving success

Industry & Context.

business decisioning data and analytics
Problems you'll solve

Be a problem solver; Be curious; Be proactive

What They're Looking For.

Must Have

AWS/GCP certification (including cloud environment administration) required, SQL Server administration (tuning, database design and optimization), knowledge of Python and SQL required, Understanding of security and version controls, Proficiency in Microsoft Office Suite

Nice to Have

Knowledge of latest solutions in the market is a plus, Knowledge of Data Operations methodology and data management approaches is preferred, Knowledge of Jira, AI, Graph database is preferred, Experience with CoPilot Agent Studio a plus

What You'll Do.

Database administration

Develop coding standards

Implement data maintenance processes

Evaluate technology solutions

End-to-end process ownership

Communicate with stakeholders

Conduct knowledge exchange sessions

Automate manual processes

Build analytical processes

Provide insight into data quality issues

Implement data improvement solutions

Build processes to fetch data

Research data mastering techniques

Support data engineers

Develop data documentation

How You'll Work.

Team & Collaboration

Collaborating with key stakeholders; Continuous growth mindset; Social experiences and relationships with stakeholders, experts, colleagues and mentors; Seek ways to collaborate and connect with people and teams

Communication Scope

Communicate with stakeholders; Knowledge exchange sessions with technical and non-technical audiences; Fluency in English

Process & Methodology

Managing project plans

Full Job Description

## Description Shape the Future with Dun & Bradstreet 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. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s 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. This role drives best-in-class standards and continuous improvement initiatives across a wide range of teams and disciplines. ## Key Responsibilities Database administration, including performance tuning, and implementing best practices. 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, provide insight into 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 into 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. ## Key Skills Strong knowledge of data transformation processes, exposure to standard and complex datatypes. Knowledge of latest solutions in the market is a plus. Knowledge of Data Opera

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