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    Job · 18857577

    HYDERABAD · FULLTIME

    Cloud Engineer/ Support Engineer - Cloud

    Ascendion logo

    Ascendion

    Hyderabad · onsite · Posted 29d ago

    Sourced fromNaukri
    Undisclosed3–6 yrsfulltimeHyderabad

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Google Retail Search Engineer
    Experience: 3–6 years
    Role Type: Retail Search / Integration Engineer

    Role Overview
    We are looking for a Google Retail Search Engineer to implement and integrate Google Retail Search parallel A/B testing initiative against Elastic Search. The role focuses heavily on product feed ingestion, Google schema mapping, taxonomy/attribute transformation, search API integration, query routing, response transformation, testing and UAT.

    Key Responsibilities
    • Implement Google Retail Search for the parallel A/B platform.
    • Analyze existing product, pricing, inventory, taxonomy and attribute data.
    • Map existing product/feed schema to Google Retail Search schema.
    • Preserve identifiers, pricing, inventory and business-critical attributes.
    • Build feed-generation and transformation processes.
    • Extend ingestion pipelines to Google, including batch/full and near-real-time updates where required.
    • Integrate Google APIs with Java/microservice applications.
    • Contribute to query routing between Google and Elastic.
    • Transform Google responses into the existing API/UI format without changing the contract.
    • Implement search, filters, facets and autocomplete capabilities.
    • Develop data, functional, integration and regression tests.
    • Support A/B comparison, discrepancy analysis, UAT and business acceptance.
    • Troubleshoot feed, mapping, API and search issues.
    • Document mappings, transformations, APIs and test scenarios.
    Required Skills
    • 3–6 years software/data/search engineering experience.
    • Google Cloud experience; Google Retail Search preferred.
    • Strong Java and/or Python.
    • REST APIs and JSON.
    • Data transformation and ingestion pipelines.
    • Strong product/catalog, schema, taxonomy and attribute-mapping knowledge.
    • Search API integration and troubleshooting.
    • Ability to work across data, application and search layers.
    Good to Have
    • Retail/e-commerce experience.
    • Large product catalog / SKU-based search experience.
    • Cloud, Docker, Kubernetes and CI/CD knowledge.
    • Streaming or near-real-time data pipelines.
    • Semantic/vector search experience.
    • Generative AI, AI Agents / Agentic AI or AI-assisted engineering experience.
    • Experience using AI/agents for test automation, data mapping, search evaluation, troubleshooting or engineering productivity.
    • BigQuery, Pub/Sub, Dataflow, Cloud Storage or Cloud Run.
    • Elastic Search experience.

    Sourced from naukri

    Section · 02

    Skills

    EngineeringDockerKubernetesretailschemaTroubleshootingTaxonomycdgooglegoogle cloud platformSpfxelastic searchCatalogStorageSoftwaredatabigqueryMappingCloud SupportJSONPythonJavascriptsearch apicloudREST APIJavaSharepointSharepoint DevelopmentCi/Cd

    Section · Company

    About Ascendion

    Ascendion logo

    Ascendion

    IT Services & Consulting

    3.3k+

    employees

    2022

    4 years old

    Basking Ridge, NJ

    India

    About

    Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have a presence in 12 countries and 40+ global offices across North America, Europe, and APAC. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to www.ascendion.com.

    Industries

    IT Services & Consulting

    Employee ratings

    799 reviews

    3.2/ 5

    Culture

    3.2

    Career growth

    2.7

    Work-life

    3.3

    Employees rate it well for

    Salary80Work Life Balance52Work Culture47Senior Management40Appraisal33

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