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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data ingestion pipelines on GCP, with a strong focus on financial data accuracy and reconciliation. Proficient in Python and SQL, with a solid understanding of data quality practices and data lineage management.
Highest-signal resume keywords
Data Engineering ExperienceGoogle BigQuery ExpertiseAdvanced SQL SkillsStrong Python SkillsFinancial Data Pipeline Development
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, and maintain data ingestion pipelines for financial and billing data on GCP
- Design and evolve BigQuery data models, including nested ARRAY/STRUCT tables, partitioning, and clustering strategies
- Implement reconciliation checks across source, staging, and output layers
- Build file validation and quarantine processes for invalid or incomplete source data
- Design idempotent pipelines that can be safely rerun without duplicating or corrupting data
- Implement append-only table patterns and use views as data checks to support auditability
- Handle monetary values accurately using BigQuery NUMERIC types and appropriate rounding rules
- Manage effective-dated reference data such as rates, mappings, and customer attributes
- Establish and maintain data lineage from outputs back to their sources
- Write clean, typed, and well-tested Python code using pydantic and pytest
- Write and optimize advanced SQL for transformation, reconciliation, and reporting
- Collaborate with engineers, analysts, and finance stakeholders to translate business rules into reliable data logic
- Mentor team members and contribute to data engineering standards and best practices
Requirements
What you’ll need- 6+ years of data engineering experience
- Proven experience building financial or billing pipelines where every amount must reconcile
- Strong Python skills, including pydantic, typed code, and pytest
- Advanced SQL skills, including complex joins, window functions, and performance tuning
- In-depth Google BigQuery experience, including nested ARRAY/STRUCT tables, partitioning, and clustering
- Experience handling money accurately using NUMERIC data types
- Experience designing append-only tables and using views as data checks
- Strong understanding of data quality practices, including reconciliation checks, file validation, and quarantine
- Experience building idempotent, rerunnable pipelines
- Experience implementing data lineage and managing effective-dated reference data
- Invoicing domain experience, including credit notes, rebills, FX conversion, and month-end close (preferred)
- Experience working with finance or billing teams in a regulated or audited environment (preferred)
- Experience with other GCP services such as Cloud Storage, Cloud Run, or Firestore (preferred)
Benefits
Comp & perks- Training and employee development opportunities
- Career growth and advancement opportunities
- Employees valued and respected
- Positive and supportive company culture
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 Ingestion PipelinesBigQuery Data ModelsPython ProgrammingAdvanced SQLData Quality PracticesIdempotent Pipeline DesignReconciliation ChecksFile Validation ProcessesData Lineage ManagementEffective-Dated Reference Data
Soft Skills
CollaborationMentoring
Tools & Technologies
Google Cloud PlatformBigQueryPydanticPytestCloud StorageCloud RunFirestore
Industry Keywords
Financial DataBilling PipelinesInvoicing DomainRegulated EnvironmentAudit Practices