FUSTIS LLC · 1 day ago
ETL Data Pipelines and AI Driven Automation tester
FUSTIS LLC is seeking a Quality Engineering Lead to spearhead QE initiatives and leverage AI-driven automation in data products. This role involves collaborating with cross-functional teams to ensure high-quality data through testing and automation of data pipelines.
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)
Qualification
Required
8–12 years in Quality Engineering / Test Automation
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)