Ziff Davis Shopping is looking to evolve its data architecture to enable data-informed experiences across its diverse portfolio of brands, requiring a Data Engineer to build and lead the design and implementation of scalable data pipelines and ETL frameworks.
Requirements
- strong proficiency in SQL and Python scripting.
- 3+ years of experience in cloud platforms ideally AWS.
- You’ve worked with Airflow (2+ years) and Snowflake (2+ years).
- You're experienced with RDBMS technologies such as MySQL, Redshift, and Snowflake.
- You have a solid grasp of computer science fundamentals, data structures, algorithms, and design patterns.
- You’re familiar with engineering workflows using tools like Git, JIRA, and CI/CD, and understand DevOps practice.
- Containerisation experience with Docker and Kubernetes.
Responsibilities
- Build & lead the design and implementation of scalable data pipelines and ETL frameworks.
- Collaborate with technology, analytics, and product teams to define data capture strategies, build end-to-end solutions, and validate their reliability.
- Maintain and evolve data APIs to support both existing and greenfield product initiatives.
- Architect and model data for reporting, analytics, and semantic-layer consumption.
- Implement proactive data quality checks and monitoring systems to safeguard data integrity.
- Support BI solutions, ensuring coherent semantic models are available for analysis and reporting.
- Integrate emerging technologies into our data stack, keeping our infrastructure modern and competitive.
Other
- You bring 5+ years of data or application engineering experience
- You demonstrate strong communication skills, with the ability to document technical designs clearly.
- You’re collaborative, eager to both teach and learn, and committed to maintaining high-quality standards.
- If you're seeking a dynamic and collaborative work environment where you can see the direct impact of your performance and thrive both personally and professionally, then Ziff Davis Shopping is the place for you.
