Quality Automation Engineer Industry Preference Retail West …, West Bengal

Role Overview

We are seeking a highly skilled Automation Engineer to drive end-to-end QA automation across data pipelines, workflow systems, and backend services. The ideal candidate will have hands-on expertise in automation frameworks, API and data validation, and AI-assisted automation. This role requires robust problem-solving skills and the ability to build scalable, reliable automation for complex, data-driven platforms.

Required Skills & Experience 48 years of QA automation experience in enterprise-scale, data-driven systems Solid proficiency in automation frameworks (e.g., Playwright, Selenium, Cypress, Robot Framework, TestNG/JUnit) Proficiency in programming languages such as Java / Python / Kotlin for automation development Strong hands-on experience with API testing and backend validation Strong SQL skills with ability to: write complex queries (joins, aggregations) validate data transformations reconcile datasets and detect anomalies Hands-on experience with data platforms such as: PostgreSQL, Snowflake, Databricks (or similar) Experience working with workflow orchestration systems (e.g., Airflow), including: validation of DAG execution handling failures, retries, and data dependencies Exposure to cloud and data services (e.g., AWS Glue, Kafka or similar event-driven systems) Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) Exposure to BI/visualization tools (e.g., Power BI) for QA reporting and observability dashboards Familiarity with AI-assisted automation approaches (e.g., test generation, intelligent test maintenance) Solid analytical and debugging skills with ability to work with logs, pipeline failures, and distributed systems Excellent communication and collaboration skills to work across cross-functional teams

Preferred Qualifications Experience in data pipeline validation and ETL/ELT testing Exposure to hybrid automation architectures (API + data validation + limited UI where required) Familiarity with test management tools (TestRail, Jira, Confluence) Experience validating: Event-driven systems (Kafka or similar) large-scale workflow ecosystems (e.g., Airflow at scale) Experience building QA or data observability dashboards using Power BI or similar tools Exposure to AI/ML-driven QA solutions or agentic automation workflows Exposure to enterprise planning or business systems (e.g., Anaplan, PLM, or similar) is a plus Apply on Kit Job: kitjob.in/job/4lzmkq