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 6,500+ 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 Role: As a Senior Software Engineer, you will be working in an agile team focused on the design, implementation, and continuous enhancement of our complex data engineering projects. These projects include web data scraping/mining, ML scoring, data aggregation, and data mastering. This role demands a proactive approach to leveraging cloud-native services and automation opportunities to ensure the highest quality of data in the Dun & Bradstreet Data Supply Chain.
Key Responsibilities:
Development and operational management of software and data platforms, ensuring adherence to the software development lifecycle and data management best practices.
Collaborate with cross-functional teams to gather requirements and deliver high-quality data engineering solutions.
Communicate effectively with customer success and other teams to ensure smooth operations and resolve any data-related issues.
Design and manage robust data pipelines using Python, with tools like Dagster and Airflow for orchestration.
Drive business decision-making processes by creating actionable insights from aggregated datasets.
Develop and enhance data ingestion and extraction systems, including API integrations and batch processing.
Design and improve algorithms for data mastering, data matching, and data integrity to ensure the highest quality and accuracy of our datasets.
Craft and refine database queries and visualization tools to monitor platform performance and identify potential issues.
Continuously improve processes and tools to enhance data quality and pipeline efficiency. Key Requirements:
5+ years of professional experience in Python, with a demonstrated ability to implement efficient and maintainable code, TDD and CI/CD practices.
3+ years of experience with RDMS, preferably PostgreSQL or ClickHouse, possessing a strong foundation in relational databases, SQL, PL/SQL and database optimization.
Proficiency in constructing data pipelines and familiarity with ETL processes.
Deep knowledge of HTTP, REST APIs, and other communication protocols.
Proficiency in building Web scraping applications, familiarity with Web scraping frameworks
Experience with cloud platforms (preferably GCP), including infrastructure management via IaC tools like Terraform and Kubernetes.
Strong analytical and problem-solving abilities, with a track record of working independently and adapting to new technologies and environments.
Excellent communication skills, with an emphasis on writing clear technical documentation and collaborating effectively with both technical and non-technical teams.
Bachelor’s or master’s degree in computer science, Engineering, or a related field, or equivalent professional experience. Additional Information
Internally this job is titled as Senior Software Engineer
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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