2 months ago
Uruguay (city not specified)Senior
Responsibilities
- Support new and existing customers with data engineering needs across multiple accounts.
- Guide customers toward technical decisions that achieve their business goals.
- Design, build, deploy, and operationalize complex data solutions.
- Develop and maintain data pipelines, transformations, data movement, and data components.
- Analyze data sources and recommend their inclusion in analytical processes.
- Apply data governance, data security, data quality, cleansing, clustering, and performance optimization practices.
- Perform data and system analysis and resolve moderately complex defects and incidents.
- Test data movement, transformation code, and data components.
- Collaborate across teams, support delivery, and educate end users on data products and analytic environments.
- Track and report progress across customer projects.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 7+ years of related experience in data engineering and data product development.
- 3+ years of experience in a consulting environment.
- Strong knowledge of the Databricks platform and experience with legacy-to-Databricks migration projects.
- Hands-on experience with DAB, clustering techniques, and performance optimization.
- Experience with Azure, AWS, or GCP, CI/CD, and GenAI.
- Strong SQL and PySpark skills.
- Excellent communication, collaboration, and leadership skills.
- Experience delivering five or more projects using Databricks is a strong plus.
- Experience with Databricks Genie and Databricks Apps is a strong plus.
Benefits
- Innovative environment with cutting-edge technologies and industry leaders in data engineering and AI.
- Opportunities for professional development and career advancement.
- Collaborative culture focused on knowledge sharing.
- Customer-impactful work helping businesses use data for strategic decision-making.
Tech Stack
Categories
Data EngineeringSolutions Engineering
About SunnyData
SunnyData is an IT services firm focused on migrating, modernizing, and scaling data platforms on Databricks for enterprise clients. It provides data engineering, governance, and AI/ML enablement services across regulated and data-driven sectors such as financial services, healthcare, retail, and manufacturing. The privately held company is headquartered in Minneapolis, with delivery teams operating from the U.S. and Latin America, and serves as a Databricks partner.