19 days ago
Nepal (city not specified)Senior
Responsibilities
- Support new and existing customers with their data engineering needs.
- Guide customers toward technical decisions that achieve their business goals.
- Work across multiple customer accounts while tracking and reporting project progress.
- 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.
- Implement data governance, data security, and data quality practices.
- Collaborate across teams to support delivery and educate end users on data products and analytical environments.
- Analyze and resolve moderate-complexity data and system defects and incidents.
- Test data movement, transformation code, and data components.
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.
- Experience with legacy-to-Databricks migration projects.
- Hands-on experience with Databricks Asset Bundles, 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.
- Experience delivering five or more projects using Databricks.
- Experience with Databricks Genie and Databricks Apps is a strong plus.
Benefits
- Opportunities to work with cutting-edge data engineering and AI technologies and industry leaders.
- Opportunities for professional development and career advancement.
- Supportive collaborative culture emphasizing 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.