Hybrid Data Engineer I

at Dun & Bradstreet

• Job title: Data Engineer I
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, ETL, Google Cloud Platform, NoSQL, Python, SQL, SSIS
• Location requirements: Hybrid, Hyderabad, India

About the role

• Data Engineer II at Dun & Bradstreet collaborating with teams to enhance data quality standards and practices. Driving best-in-class data management across diverse disciplines.

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.

Requirements

• Bachelor’s degree in computer science, data science, information systems, or other related field or equivalent work experience.
• 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 Operations methodology and data management approaches is preferred.
• AWS/GCP certification (including cloud environment administration) required.
• SQL Server administration (tuning, database design and optimization).
• Strong knowledge of Python and SQL required.
• Experience with a variety of coding tools and languages (SSIS, C#, Python, Git/Bitbucket, APIs, NoSQL).
• Experience with CoPilot Agent Studio a plus
• Knowledge of Jira, AI, Graph database is preferred
• 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.