Senior Data Engineer

Що робити

Design, build, and maintain Python-based ETL pipelines across Bronze, Silver, and Gold layers following the Medallion architecture pattern.
Develop and operationalise data quality (DQ) rules in Python, covering validity, completeness, consistency, uniqueness, accuracy, and timeliness dimensions.
Build and maintain DQ rules using Informatica IDQ 10.5 on-premises, including mapplet design, profile configuration, and scorecard setup.
Support data cataloguing and lineage activities using Informatica EDC, including schema scanning, data classification, and lineage mapping.
Configure and maintain Informatica Axon for governance workflows, business glossary management, policy enforcement, and surfacing DQ scores to stakeholders.

Strong Python development skills, including experience with data processing libraries (pandas, PySpark) and testing frameworks (pytest).
Hands-on experience with Informatica IDQ 10.5 on-premises: Developer Tool, mapplet design, profiles, scorecards, and expression-based DQ rules.
Working knowledge of Informatica EDC for schema scanning, data lineage, and data classification.
Experience with Informatica Axon for governance, business glossary management, HITL steward workflows, and DQ score surfacing.
Solid understanding of the Medallion architecture (Bronze / Silver / Gold) and data lake design patterns.

Familiarity with Talend for data ingestion workflows.
Exposure to AI/ML techniques for data quality: anomaly detection, entity resolution, DQ score aggregation.
Experience generating or consuming Informatica IMX-format XML programmatically.
Knowledge of Power BI for building or maintaining DQ score dashboards.
Understanding of data governance frameworks, stewardship models, and regulatory reporting requirements.