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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data engineering and product development, with a strong focus on designing and operationalizing data solutions using Databricks and cloud platforms. Proficient in SQL and PySpark, with a commitment to data governance, quality, and security.
Highest-signal resume keywords
Data EngineeringDatabricks PlatformSQLPySparkCloud Platforms (Azure, AWS, GCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Product DevelopmentData MigrationData TransformationData Quality SolutionsData GovernanceData SecurityData AnalysisPerformance OptimizationCI/CDGenAI
Soft Skills
CommunicationCollaborationLeadership
Tools & Technologies
Databricks Asset BundlesDatabricks GenieDatabricks Apps
Industry Keywords
Data SolutionsAnalytical ProcessesAIMLBI
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformPySparkSQL
About the role
Key responsibilities & impact- Support new and existing customers with their data engineering needs
- Guide customers in making technical decisions to achieve their goals
- Work across multiple customer accounts while tracking and reporting progress
- Design, build, and operationalize complex data solutions
- Fix issues, apply transformations, and recommend data cleansing and quality solutions
- Analyze data sources to determine their value and recommend inclusion in analytical processes
- Incorporate data governance, data security, and data quality practices
- Collaborate across teams to support delivery and educate end users on data products and analytic environments
- Perform data and system analysis, assessment, and resolution for defects and incidents of moderate complexity
- Test data movement, transformation code, and data components
- Work directly with internal teams and customers to design, build, and deploy data solutions supporting AI, ML, and BI insights
Requirements
What you’ll need- 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 (DAB), clustering techniques, and performance optimization
- Familiarity with other data platforms and technologies
- Experience working with Azure, AWS, or GCP, as well as CI/CD and GenAI
- Strong SQL and PySpark skills
- Excellent communication, collaboration, and leadership skills
- Experience with Databricks Genie and Databricks Apps is a strong plus
- Experience delivering 5+ projects using Databricks
- Bachelor’s Degree in Computer Science or Engineering related field
- Currently based in Nepal and legally able to work in Nepal
- English proficiency at an advanced level
Benefits
Comp & perks- Opportunities for professional development and career advancement
- Supportive collaborative culture and knowledge sharing
- Work with cutting-edge technologies and industry leaders in data engineering and AI
- Opportunity to make a real difference in how businesses leverage data for strategic decision-making
- Hybrid work arrangement