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Intone Networks Inc Logo
Quality Engineer / Data Quality Analyst

Intone Networks Inc

 

Manhattan, New York, NY, USA

Posted On: 15+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 2
Category: Quality Engineer
Tenure: No Preference/Any
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Description

You will work closely with Data Engineering, Development, DevOps, and Product teams to design and execute comprehensive data quality and testing strategies for cloud-based data platforms, ensuring the accuracy, reliability, completeness, consistency, and performance of enterprise data pipelines and applications in the automotive industry.

Responsibilities

  • Design and execute comprehensive data quality and testing strategies for cloud-based data platforms, pipelines, APIs, and applications.
  • Validate end-to-end data pipelines covering data ingestion, transformation, processing, storage, and downstream consumption.
  • Perform data validation across batch and streaming pipelines, ensuring accuracy, completeness, consistency, and integrity.
  • Develop and maintain Python-based automation frameworks for backend, REST API, database, and data-validation testing.
  • Develop and maintain UI automation tests using Playwright or Cypress and perform manual validation when required.
  • Perform comprehensive REST API testing, including functional, integration, negative, regression, and end-to-end testing.
  • Design and execute performance, load, stress, latency, and throughput testing using k6 or comparable tools.
  • Validate data across relational, document, analytical, and columnar databases.
  • Work extensively with the GCP ecosystem, including Pub/Sub, Google Cloud Storage (GCS), Dataflow, Dataproc, Cloud Composer, and BigQuery.
  • Perform database validation using PostgreSQL/AlloyDB, MongoDB, and BigQuery.
  • Troubleshoot data discrepancies, pipeline failures, API issues, and performance bottlenecks.
  • Build automated data reconciliation and validation checks to identify missing, duplicate, inconsistent, incorrect, or delayed data.
  • Collaborate with Data Engineering, Development, DevOps, and Product teams to investigate and resolve data-quality issues.
  • Integrate automated data, API, and application quality checks into CI/CD pipelines.
  • Support data profiling, governance, cataloging, lineage, and automated data-quality controls.
  • Contribute to continuous improvement of data-quality frameworks, automation, testing standards, and processes.
  • Document test scenarios, validation results, defects, root causes, and resolutions.

Qualifications

  • Required
    • Proven experience as a Data Quality Engineer, Data Test Engineer, SDET, QA Automation Engineer, or similar role.
    • Strong hands-on experience with Python-based test automation.
    • Strong experience testing RESTful APIs and backend services.
    • Hands-on experience with Playwright or Cypress.
    • Strong experience with GCP data technologies, particularly Pub/Sub, GCS, Dataflow, Dataproc, Cloud Composer, and BigQuery.
    • Strong SQL and data-validation skills with experience working with large and complex datasets.
    • Experience with PostgreSQL/AlloyDB, MongoDB, and BigQuery.
    • Hands-on experience with performance/load testing, preferably using k6 or similar tools.
    • Strong understanding of ETL/ELT, batch and streaming pipelines, data reconciliation, schema validation, data integrity, and data-quality principles.
    • Strong analytical, debugging, problem-solving, and communication skills.
  • Preferred
    • Experience with ClickHouse or other high-performance columnar databases.
    • Experience with Dataplex for data profiling, cataloging, governance, and automated data-quality controls.
    • Experience integrating automated testing into CI/CD pipelines.
    • Knowledge of data observability, data lineage, metadata management, and cloud-native monitoring.
    • Experience working in the automotive, automotive technology, dealership, or transportation

Education

Any Graduate

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