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Senior Data Integration Engineer (QA)

Tbilisi, GE💼 Full-time🗓 2026-07-17 → 2026-09-11

Core

Own data quality end-to-end for financial data streams, ensuring accuracy and reliability between raw feeds and final products.

Role type

Senior Data Integration Engineer (QA)

Builds

High-quality data pipelines and monitoring systems for financial analysis platform

Domain

Financial technology / Data Engineering

Deliverable

production ML models | dashboards & analysis

Required skills

Data profiling, data anomaly detection, ETL pipeline design, API data ingestion, schema design, root cause analysis, automated testing, CI/CD workflows, JSON/YAML, Git, Linux CLI

Preferred skills

Python scripting, Regex, Kafka, data observability tools, data catalogs, AI-assisted engineering

Responsibilities

Define data quality metrics and SLAs, monitor data streams for anomalies and drift, conduct root cause analysis and remediate data issues, design data schemas and onboard new data sources, expand automated data quality test coverage, collaborate with developers and product managers on pipeline optimization

Seniority

Senior, hands-on IC

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