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Responsibilities
- Design and operate Silver+/Mart data products using Airflow and dbt with accountability for consistency, reproducibility, and reliability.
- Build and manage metrics and semantic layers, including standardization of definitions, formulas, versions, and impact analysis.
- Operate data quality and observability frameworks, including dbt tests, custom checks, anomaly detection, and reliability scoring.
- Standardize analytical serving through collaboration with PA, PM, Marketing, and FP&A teams for dashboards, reports, and KPI monitoring.
- Contribute to experiment and analysis automation, Reverse ETL specifications, and data governance including schema, terminology, and ownership.
- Implement compliance engineering including privacy and DLP requirements, anonymization/pseudonymization, and automated data deletion processes.
Requirements
- Practical experience in data pipeline engineering using SQL and Python.
- Operational experience with Airflow and dbt.
- Understanding of data warehouse modeling and performance optimization (e.g., Databricks, BigQuery).
- Experience applying software engineering methodologies such as testing, CI/CD, and version control to data pipelines.
- Ability to translate business domains into reliable data products.
- Strong independent design capabilities, ownership, and cross-team communication skills.
Skills
- SQL
- Python
- Airflow
- dbt
- Databricks
- BigQuery
- CI/CD
- Data Modeling
- Data Governance
- Compliance Engineering
- DLP
Work Type
- Full-time
About the Company
- Hyperconnect
Equal Opportunity
- National veterans are given preferential treatment in accordance with relevant laws.