Senior Data Engineer – Data Quality & Observability |1789

Softgic

≈ 340,6 тыс.–486,1 тыс. ₽ · 4,3 тыс.–6,2 тыс. $ · 3,8 тыс.–5,4 тыс. €

75 917 – 108 333 MXN

🌍 Удалённо

Senior

Полная занятость

🌐 Глобал

Продуктовая

Tech

Описание вакансии

Обязанности

•Build dashboards for data quality monitoring

•Collaborate across teams on governance and ownership

•Create automated validation checks

•Define data validation processes

•Define governance validation frequency and remediation workflows

•Design Data Quality Framework

•Develop rule as code data quality rules

•Implement data observability monitoring and alerting

•Implement data validation with Great Expectations

•Integrate data validation into CI/CD pipelines

•Maintain data lineage

•Perform root cause analysis and prevention

Условия

•Cross-functional collaboration

•Fully remote

•Opportunity for ownership

Технологии: Alerting, Amazon Aurora, Amazon Aurora PostgreSQL, Amazon Redshift, Aurora PostgreSQL, CI/CD, Cause analysis, Dashboards, Data Engineering, Data Lineage, Data Modeling, Data Observability, Data Quality, Data Validation, ETL, Git, Great Expectations, Referential Integrity, Root Cause Analysis, Root cause, Rule as Code, SQL, “as-code”