Responsibilities
- Process and manage large volumes of structured and semi-structured data through advanced pipeline development
- Partner with key stakeholders to create scalable data solutions
- Oversee and enhance internal data workflows that serve marketing, customer success, and data science teams
- Concentrate on the ingestion, storage, transformation, and analysis of extensive datasets
- Contribute technically to the development of the organization's big data platform supporting AI and business intelligence tools
- Collaborate with infrastructure and operations teams to monitor and improve system performance
- Build and deploy ETL pipelines that convert raw data into actionable insights aligned with strategic objectives
- Support the creation of data governance standards and version control practices
- Undertake occasional travel for business purposes
- Utilize artificial intelligence tools to enhance pipeline development, speed up issue diagnosis, and automate data quality validation
Other
Occasional business trips are required
