Quality Engineering Lead Data Pipelines and AI Driven Automation

Overview

Hybrid
$40 - $50
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Lead
AI-driven automation
JavaScript orPython
Prompt Engineering

Job Details

We are looking for a Quality Engineering Lead with strong hands-on experience in data quality and test automation for data pipelines. This role will lead QE initiatives, leverage AI-driven automation, and work closely with cross-functional stakeholders to ensure high-quality, reliable data products. UI and API testing experience is a plus.

Key Responsibilities

  • Lead Quality Engineering strategy and initiatives for data platforms
  • Collaborate with Product, Data Engineering, and Business stakeholders
  • Hands-on testing and automation of data pipelines (ETL/ELT) must-have
  • Implement data quality checks
  • Drive AI-enabled test automation (intelligent test generation, anomaly detection, self-healing tests)
  • Provide clear communication on quality risks, metrics, and release readiness

Required Skills & Qualifications

  • 8 12 years in Quality Engineering / Test Automation
  • Excellent communication skills able to clearly articulate quality status, risks, and recommendations to technical and non-technical stakeholders
  • Proficiency in one programming language: JavaScript or Python
  • Strong hands-on experience with data pipelines and data quality testing
  • Advanced SQL and experience with data warehouses/lakes (Snowflake, Databricks, BigQuery, Redshift)
  • Experience using AI/ML concepts or tools in test automation
  • Exposure to API automation; UI automation is a plus
  • Experience with CI/CD, cloud platforms, orchestration tools (Airflow)and automation frameworks
  • Proven stakeholder management and leadership capabilities
    Strong hands-on experience with UI and API automation tools/frameworks (e.g., Cypress, Playwright, Selenium, RestAssured, etc.).
  • Expertise in test design methodologies, test data management, and root-cause analysis.
  • Proven experience in data testing, including:
    • Data normalization techniques
    • Data contracts validation
    • SQL queries (intermediate or above)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About RITWIK Infotech Inc