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Tech Stack
Tools & technologiesBigQueryCloudETLNoSQLTypeScript
About the role
Key responsibilities & impact- Design, build, and optimize the data infrastructure that powers reporting, analytics, and business intelligence capabilities
- Manage data synchronization across disparate database paradigms and enable stakeholders through modern BI tools
- Safeguard core production databases from intensive analytical workloads and unauthorized data extraction
- Write clean, maintainable, and typed code within the existing software ecosystem
- Develop backend services, scripts, and internal tools leveraging TypeScript and the MERN stack
Requirements
What you’ll need- Proven experience building production-grade ETL/ELT pipelines converting nested NoSQL data structures (JSON/BSON) into optimized BigQuery schemas
- Deep understanding of database indexing, BigQuery billing/slot optimization, and architectural patterns used to separate transactional (OLTP) and analytical (OLAP) workloads
- Experience managing user roles, credentials, and data source permissions within cloud-based BI and Google Cloud environments (IAM)
- Strong commitment to data privacy, security best practices, and handling sensitive healthcare data especially the Data Privacy Act of 2012
- Ability to write self-documenting code, design clean APIs, and work effectively in a fast-paced, high-growth startup environment
- Excellent communication skills.
Benefits
Comp & perks- Outstanding career opportunities
- Empowerment in the workplace
- Diverse, friendly team
- Competitive compensation packages
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTBigQueryTypeScriptMERN stackdatabase indexingAPI designdata synchronizationdata extractiondata privacy
Soft Skills
communicationcommitmentadaptabilityproblem-solvingteam collaborationself-documenting codeclean coding practicesstakeholder engagementorganizational skillstime management
