Full Stack Software Engineer collaborating across Agile teams to design and implement technical solutions. Utilizing programming languages and cloud services to enhance customer experiences at Capital One.
About the role
- Senior Data Engineer at Dun & Bradstreet focusing on Power BI and data solutions. Responsible for designing and optimizing data architecture and analytics solutions.
Responsibilities
- Design, develop, and maintain complex Power BI datasets, data models, and optimized DAX for enterprise-grade dashboards
- Ensure semantic models and data flows are built with scalability, consistency, and maintainability in mind
- Collaborate with business stakeholders to translate requirements into efficient BI solutions
- Build and optimize data pipelines across MySQL, Big Query, Redshift, and other platforms
- Develop clean, efficient, reusable code following architectural and security standards.
- Evaluate and recommend technical solutions, weighing trade-offs and performance impacts
- Conduct root-cause analysis across data pipelines, infrastructure, and Bilayers
- Ensure reliability and accuracy of data models, including validation and testing processes
- Optimize SQL queries and storage structures for performance and cost efficiency
- Work closely with engineering, analytics, and business teams to deliver data solutions on time
- Participate in Agile ceremonies, sprint planning, and architecture discussions
- Contribute to continuous improvement of engineering practices and standards
Requirements
- 7+ years' experience as a data engineer or BI/data analytics engineer
- Strong expertise in Power BI (2-3 years), including DAX, Power Query (M), modeling, and performance tuning
- Advanced SQL skills and deep experience with relational databases, especially MySQL
- Hands-on experience with cloud data warehouses such as Google Big Query or Amazon Redshift
- Experience with ETL tools such as Talend, SAP, BODS, or similar
- Experience building data models, designing schemas, and integrating multiple data sources
- Strong knowledge of Git and version control best practices
- Experience working in GCP, AWS, or Azure (GCP preferred)
- Understanding of systems architecture, high availability, and cloud design patterns
- Excellent verbal and written communication skills
- Ability to work collaboratively in a team environment
- Strong analytical thinking, problem-solving, and decision-making abilities
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