- Serve as the subject matter expert for the product analytics platform (Amplitude), driving adoption and ensuring end-to-end data integrity.
- Collaborate with Product and Marketing teams to define key performance indicators (KPIs) and develop dashboards and reports to track user engagement, feature adoption, and campaign performance.
- Implement and manage automated data quality testing and validation frameworks within ETL/ELT pipelines (e.g., dbt tests, Outstanding Expectations).
- Conduct in-depth data analysis using SQL and GraphQL to identify root causes of data quality issues.
- Own and manage the data quality assurance framework, proactively investigating, triaging, and resolving data issues.
- Partner with source system owners and analysts to define, document, and enforce data standards and best practices.
Required Skills & Experience
Must-Have:
- 4+ years of experience in data quality, data governance, or related data engineering roles.
- Expert-level proficiency in SQL for data profiling, analysis, and validation.
- Strong understanding of ETL/ELT development and data modeling concepts.
- Exceptional attention to detail with a methodical and data-driven approach to problem-solving.
Desired Skills:
- Programming experience in Python for developing custom data quality checks and automation.
- Experience working with cloud data warehouse platforms such as Snowflake.
- Familiarity with data privacy regulations and data governance frameworks.
Eligibility / Qualifications
- Education: 4-year IT degree or equivalent.
- Experience: 4 - 6 years in a relevant data engineering or data quality role.