2 months ago
Mexico (city not specified)Senior
Responsibilities
- Support new and existing customers with data engineering needs.
- Guide customers toward technical decisions that achieve their goals.
- Track and report progress across multiple customer accounts.
- Design, build, and operationalize complex data solutions.
- Fix issues, apply transformations, and recommend data cleansing and quality solutions.
- Analyze data sources and recommend their use in analytical processes.
- Implement data governance, security, and quality practices.
- Collaborate across teams to support delivery and educate end users on data products and analytics environments.
- Analyze and resolve moderate-complexity data and system 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, as well as 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 and industry leaders.
- Opportunities to make a customer impact through strategic data use.
- Professional development and career advancement opportunities.
- Collaborative culture focused on knowledge sharing.
- Equal opportunity employer committed to unbiased hiring practices.
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.