QA Automation Lead (Data Engineering)- India @Juniper Square

    about 1 hour ago·Juniper Square is hiring a remote QA Automation Lead (Data Engineering)- India·📍 India

    Overview

    The role of QA Automation Lead for Data Engineering at Juniper Square involves ensuring data quality and reliability for projects. Responsibilities include driving the end-to-end data testing strategy and collaborating closely with various teams to maintain high-quality data products.

    Key Responsibilities

    • Partner with Data Engineering and Product leadership to define data validation and automation strategy for data platform features and new architecture releases.
    • Design and execute complex test cases targeting backend data systems, focusing on data integrity, distributed systems logic, data transformation consistency, and asynchronous batch or stream processing.
    • Leverage AI-powered tools to rapidly prototype and generate advanced data validation test scenarios.
    • Develop, maintain, and extend scalable data automation frameworks and data quality monitoring suites.
    • Establish and enforce data QA best practices, coding standards, and rigorous code review processes for the automation team.
    • Champion an automation-first approach to data quality and minimize reliance on manual data reconciliation.

    Requirements

    • Bachelor's degree in Computer Science, Data Engineering, or equivalent professional experience.
    • 7–10 years in Software Quality Assurance with leadership experience in end-to-end testing.
    • Knowledge of relational databases and strong proficiency in SQL.
    • Understanding of data engineering concepts including data pipelines, ETL/ELT workflows, and data warehouse architecture.
    • Strong proficiency in Python and QA automation frameworks.
    • Experience in managing the full release cycle for data features.
    • Excellent analytical and problem-solving skills with strong attention to detail.
    • Strong written and verbal communication skills in English.

    Benefits

    Details on employee benefits are not available in the listing.

    Location

    Remote work option available, primarily within India.

    How to Apply

    Please visit the provided link to submit your application.

    Deadline

    No specific deadline mentioned for applications.

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