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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.
Job Summary:
We are looking for a Data Engineer to join our team and contribute to building and maintaining applications that power the Dun & Bradstreet Contact Pipeline. This role involves working closely with senior data engineers to optimize data ingestion processes, analyze performance bottlenecks, and implement improvements. You will also create metrics to monitor application performance and throughput, ensuring continuous enhancement
Key Responsibilities:All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.
Job ID: 149009809
Skills:
Data Governance, ETL process design, data storage solutions, data integration techniques, distributed computing environments, cloud-based data platforms, data quality best practices, Microsoft Azure Databricks, data pipeline architecture
Skills:
Gcp, Terraform, Databricks, Python, Sql, AWS
Skills:
Java, RDS, Scala, Emr, Redshift, Sql, Apache Airflow, Lambda, Ec2, Kinesis, Python, AWS, Glue