Data Engineer Data Quality Engineer
Silicon Development
Argentina
hace 2 días
source : EducacionIT

The Data Quality Engineer (DQE) role combines data engineering and analytic skills with a sound understanding of the processes and data that our product and services teams rely on to help our health system clients make sound data-informed decisions based on high-quality data.

The primary accountability of the DQE is to ensure that all data quality infrastructure and insight is highly available, reliable, and actionable for our primary users this work will include building, deploying, and maintaining infrastructure and analytics as well as working across the company with other teams to do so.

Duties & Responsibilities

  • Development, deployment, maintenance, and support of Data Quality Data Pipeline (standard data model, client-side processing, extract from the client, ingest into the central environment, and cross-client aggregation).
  • Development, maintenance, and support of Data Quality Central Power BI application(centralized data quality validation and monitoring application used by Catalyst product teams).
  • Assist product and services teams in the development and maintenance of their data quality check libraries.

  • Review and deploy data quality check libraries to client environments on behalf of product and services teams provide support when / where required.
  • Required Skills

  • Intermediate level in Structured Query Language (SQL).
  • Intermediate level at developing data sets, reports, and dashboards in Power BI.
  • Strong experience working with Azure DevOps Boards, Repos, and Pipelines.
  • Experience working in both SQL Server and Azure Synapse technologies.
  • Experience identifying data quality gaps or issues and writing checks to facilitate validation and monitoring that covers the gap.
  • We offer :
  • USD salary
  • USD salary
  • Flexible working schedule
  • Bonuses
  • PTO / vacations
  • Argentinian Holidays
  • Training
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