Senior Data Integration Engineer (QA)

TradingView
Tbilisi
Workplace: HybridFull timeFunction: QA, Test & Release EngineeringExperience: 2+ yearsSkills: ["Ownership","Cross-functional collaboration","Problem-solving","Attention to detail","Root cause analysis"]

Own data streams end-to-end to ensure accuracy, consistency, and reliability across the full data pipeline. Define data quality requirements and metrics, monitor SLAs, and proactively detect anomalies, drift, duplicates, and defects. Lead RCA to fix incorrect records and prevent recurrence, while supporting schema design, onboarding new data sources/APIs, and expanding automated data quality test coverage. Collaborate with developers, product, and analysts and maintain data documentation and defect logs.

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FursaFursa
TradingView
TradingView
3 weeks ago

Senior Data Integration Engineer (QA)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own data streams end-to-end to ensure accuracy, consistency, and reliability across the full data pipeline. Define data quality requirements and metrics, monitor SLAs, and proactively detect anomalies, drift, duplicates, and defects. Lead RCA to fix incorrect records and prevent recurrence, while supporting schema design, onboarding new data sources/APIs, and expanding automated data quality test coverage. Collaborate with developers, product, and analysts and maintain data documentation and defect logs.
Location: Tbilisi
Workplace: Hybrid
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Define data quality requirements, metrics, and SLAs aligned with business and engineering needs.
  • •Set up dashboards and monitoring to track SLAs and identify anomalies, drift, duplicates, and defects.
  • •Perform root cause analysis across the full data lifecycle, fix incorrect records, and prevent recurrence.
  • •Participate in data schema/model design and lead onboarding and ingestion of new data sources and APIs.
  • •Expand automated data quality test coverage and build pipeline checks to catch issues early, while partnering cross-functionally and documenting defects and schemas.

Pay and Benefits

Perks:Health InsuranceRelocation SupportLearning BudgetAnnual BonusPremium Access

Key Requirements

  • •2+ years in Data Integration, Data Quality, DataOps, or Data Analytics.
  • •Strong data quality skills including data profiling, anomalies, and DQ dimensions (completeness, accuracy, consistency, timeliness).
  • •Hands-on experience with data pipelines (ETL, batch, streaming) and ingestion of data feeds through APIs and backend services.
  • •Solid understanding of JSON/YAML, version control (Git/GitHub), and CI/CD practices (e.g., GitLab, Jenkins) with general SDLC concepts.
  • •B2+ English proficiency with strong reading and written technical communication; domain knowledge in investments, brokers, crypto exchanges, or financial markets is required.
Experience:2+ yearsData qualityDataopsData analyticsFinancial marketsCrypto exchanges
Skills:OwnershipCross-functional collaborationProblem-solvingAttention to detailRoot cause analysis
Languages:English
Tech Stack:ETLBatchStreamingAPIsJSONYAMLGitGitHubCI/CDGitLabJenkinsPythonRegexKafkaDashboardsData observabilityData catalogsMetadata managementAI-assisted engineeringLinux

Company Brief

TradingView
Provides a web-based charting platform, market data and social network for traders and investors, offering charting libraries, trading integrations, and analytics used by retail traders, brokerages and fintech firms worldwide.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Funding: Series C
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 2.9
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