Data Quality Engineer
Город:
Тбилиси
Занятость:
Полная занятость
Компания "Tech Duck"
Responsiblities:-
Own and improve data quality across multiple pipelines, datasets, and integrations
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Design and maintain automated data validation frameworks (freshness, completeness, schema checks, anomaly detection)
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Build monitoring and alerting systems to ensure reliability of ELT/ETL pipelines
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Investigate data inconsistencies and work cross-functionally to resolve root causes
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Develop and maintain data SLAs, incident response playbooks, and documentation
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Partner with Data Engineering, Analytics, and Customer Success teams to ensure data used by clients is always accurate, timely, and trustworthy
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Improve internal tools and workflows related to data ingestion, observability, lineage, and testing
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Contribute to continuous improvements of our data platform and operational excellence
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3+ years of experience in Data Quality, Data Ops, Analytics Engineering, or Data Engineering
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Solid SQL and Python skills
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Experience implementing data testing frameworks (e.g., dbt tests, Great Expectations, Soda, or custom tooling)
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Strong understanding of ETL/ELT pipelines and data warehousing concepts
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Hands-on experience with orchestration tools (Airflow or equivalents)
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Experience with AWS cloud services (S3, Lambda, ECS, etc.)
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Understanding of schema design, data modeling, and data lineage
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Strong analytical mindset and exceptional attention to detail
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Excellent written and verbal communication skills
Nice to Have:-
Experience with Snowflake and/or ClickHouse
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Knowledge of monitoring/observability tools (e.g., Prometheus, Grafana, OpenTelemetry)
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Familiarity with event-based architectures and webhook ingestion
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Experience supporting ML pipelines from a data reliability standpoint
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Flexible schedule and remote work
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Participation in interesting and large-scale projects
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Friendly and professional team atmosphere
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Competitive salary
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