Data Quality Engineer

Компания "Tech Duck"

• Own and improve data quality across multiple pipelines, datasets, and integrations

• Design and maintain automated data validation frameworks (freshness, completeness, schema checks, anomaly detection)

• Build monitoring and alerting systems to ensure reliability of ELT/ETL pipelines

• Investigate data inconsistencies and work cross-functionally to resolve root causes

• Develop and maintain data SLAs, incident response playbooks, and documentation

• Partner with Data Engineering, Analytics, and Customer Success teams to ensure data used by clients is always accurate, timely, and trustworthy

• Improve internal tools and workflows related to data ingestion, observability, lineage, and testing

• Contribute to continuous improvements of our data platform and operational excellence

• 3+ years of experience in Data Quality, Data Ops, Analytics Engineering, or Data Engineering

• Solid SQL and Python skills

• Experience implementing data testing frameworks (e.g., dbt tests, Great Expectations, Soda, or custom tooling)

• Strong understanding of ETL/ELT pipelines and data warehousing concepts

• Hands-on experience with orchestration tools (Airflow or equivalents)

• Experience with AWS cloud services (S3, Lambda, ECS, etc.)

• Understanding of schema design, data modeling, and data lineage

• Strong analytical mindset and exceptional attention to detail

• Excellent written and verbal communication skills
  
  Nice to Have:

  • Experience with Snowflake and/or ClickHouse

  • Knowledge of monitoring/observability tools (e.g., Prometheus, Grafana, OpenTelemetry)

  • Familiarity with event-based architectures and webhook ingestion

  • Experience supporting ML pipelines from a data reliability standpoint

• Flexible schedule and remote work

• Participation in interesting and large-scale projects

• Friendly and professional team atmosphere

• Competitive salary
  
  If you're interested in this vacancy, we're waiting for your response via the Telegram bot @aina_harmony_hr_assistant_bot. This will take 5-7 minutes, and your responses will be immediately entered into the system, so your conversations won't get lost and we'll be able to get to know you better! We'll get back to you quickly with feedback and next steps.

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