Senior Data Engineer

New
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IntellectsoftSoftware Development
UkraineFull-TimeSenior
Salary not disclosed
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Job Details

Experience
4+ years
Required Skills
PostgreSQLSQLETLMicrosoft Power BIData modeling

Requirements

  • 4+ years of professional experience in data engineering
  • Experience with PostgreSQL and SQL
  • Knowledge of data warehouse schemas: bronze, silver, gold, semantic, and governance
  • Power BI as the reporting and dashboarding layer
  • Experience with Power BI Apps, Deployment Pipelines, and Paginated Reports
  • Power Apps / Power Automate integration for action writeback
  • ETL/ELT ingestion from ERP, CRM, production, budget, quality, catalog, and organization systems
  • Data quality SQL assertions and acceptance testing
  • Scheduled daily and hourly refresh pipelines
  • Role-based access and secure semantic reporting views

Responsibilities

  • Design, build, and maintain the reporting data warehouse using a layered model: bronze, silver, gold, semantic, and governance.
  • Build reliable ELT/ETL pipelines from ERP, CRM, production, budget, quality, catalog, and organization data sources.
  • Develop and optimize SQL transformations for daily facts, conformed dimensions, KPI views, cohort analytics, client 360 views, alerting views, and operational dashboards.
  • Maintain semantic views used by Power BI reporting, ensuring business users only access approved reporting layers.
  • Implement data quality checks, freshness validation, reconciliation tests, and SLA monitoring.
  • Support daily and hourly refresh pipelines, including incremental refresh logic for operational order and production data.
  • Implement governance, role-based access, and secure data access patterns for group, lab, clinic, owner, and user-level visibility.
  • Partner with BI developers to ensure Power BI reports are backed by clean, stable, documented semantic datasets.
  • Collaborate with business stakeholders to validate KPI definitions, reporting grain, ownership logic, and actionability of alerts.
  • Maintain documentation for data lineage, metric definitions, pipeline runbooks, and acceptance tests.
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