Senior Big Data Engineer (R-19335)

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.

Key Responsibilities

Design, build, deploy, and document scalable data pipelines within big data ecosystems

Develop ETL/ELT pipelines using modern data processing frameworks and tools

Work with data lake architectures and modern data warehousing concepts such as virtual data warehouses and push-down analytics

Build and optimize data solutions using file formats such as Parquet, Iceberg, and Delta

Develop high-performance solutions using Python, Databricks, and Apache Spark

Work with cloud infrastructure, primarily on GCP Design and manage relational databases including DB2, Oracle, and SQL Server with strong SQL expertise

Implement workflow scheduling and orchestration using Apache AirflowManage big data clusters including installation, configuration, monitoring, security, resource allocation, and performance tuning

Create detailed design documents and proof of concepts for new capabilities

Collaborate with platform and infrastructure teams to deploy solutions into production

Optimize workloads, manage multi-tenant environments, and ensure SLA adherence

Participate in planning, data science initiatives, and continuous platform improvement

Key Requirements

Minimum 8 years of experience in ETL/ELT technologies

4+ years of hands-on experience with big data technologies such as Databricks and Apache Spark

Minimum 6 years of experience working with cloud platforms, preferably GCP

Strong programming expertise in Python

Experience with relational databases and complex SQL development

Exposure to NoSQL and graph databases is a plus

Experience with access control mechanisms such as role-based and attribute-based access

Familiarity with BI tools such as Tableau, Power BI, or Looker

Hands-on experience managing and deploying cloud-based solutions

Experience working in a global environment and DevOps model is an advantage