2 months ago
Argentina (city not specified)Senior
Responsibilities
- Support new and existing customers with data engineering needs.
- Guide customers in making technical decisions and work across multiple customer accounts.
- Design, build, deploy, and operationalize complex data solutions.
- Fix issues, apply transformations, and recommend data cleansing and quality solutions.
- Analyze data sources and recommend their inclusion in analytical processes.
- Apply data governance, data security, and data quality practices.
- Collaborate across teams to support delivery and educate end users on data products and analytical environments.
- Perform data and system analysis and resolve moderate-complexity defects and incidents.
- Test data movement, transformation code, and data components.
Requirements
- 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.
- Experience with legacy-to-Databricks migration projects.
- Hands-on experience with DAB, clustering techniques, and performance optimization.
- Familiarity with other data platforms and technologies.
- Experience with Azure, AWS, or GCP, CI/CD, and GenAI.
- Strong SQL and PySpark skills.
- Excellent communication, collaboration, and leadership skills.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Experience with Databricks Genie and Databricks Apps is preferred.
- Experience delivering five or more projects using Databricks is preferred.
Benefits
- Innovative environment involving data engineering and AI technologies.
- Opportunities to make a customer impact through strategic data solutions.
- Professional development and career advancement opportunities.
- Collaborative culture focused on knowledge sharing.
Tech Stack
Categories
Data 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.