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    Job · 18996671

    BENGALURU · FULLTIME

    Senior Data Engineer

    FA

    Freelancer Ashar Zafeer

    Bengaluru · onsite · Posted 28d ago

    Sourced fromFoundit
    Not disclosed5–10 yrsfulltimeBengaluru

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

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    Section · 01

    About this role

    Job Title: Senior Data Engineer

    Location: Bellandur, Bangalore

    Duration: 6 Months Contract (Possibility of extension)

    Work Mode – Fully onsite job

    Interview mode: 1st round MS teams & 2nd round in-person interview

     

    Key Responsibilities

    • Design and build the BigQuery data warehouse across raw, curated and reporting datasets.
    • Build and maintain ETL/ELT pipelines using GCP-native tools (e.g. Dataflow, Cloud Composer, Cloud Functions) to move data into BigQuery.
    • Implement row-level security and access controls within BigQuery.
    • Develop the Python (FastAPI) backend API on Cloud Run that serves the reporting layer.
    • Integrate GCP Gemini for natural-language-to-SQL (text-to-query), optimizing for token efficiency and cost.
    • Implement file archival / retrieval for historical sales order search.
    • Build toward an agentic AI framework covering churn analysis, anomaly detection and escalation management.
    • Design, develop and deploy the React web application.
    • Deploy and manage application services on GCP — Cloud Run, Artifact Registry, and related deployment pipelines.
    • Build ReactJS, ChartJS dashboards connected to BigQuery, where used alongside or instead of the React app.
    • Design an intuitive interface for the natural-language query assistant.
    • Ensure the UI correctly reflects row-level security / access permissions per user.
    • Integrate with the Python FastAPI backend endpoints.

     

    Required Skills

    ·       3–5 years of experience working with GCP, ReactJS and Python.

    ·       Strong SQL and data modelling experience on BigQuery or an equivalent cloud data warehouse.

    ·       Experience building ETL/ELT pipelines using GCP-native tools (Dataflow, Cloud Composer, Cloud Functions, or similar).

    ·       Python backend development (FastAPI or similar) and REST API design.

    ·       Experience with core GCP services: BigQuery, Cloud Run, IAM, Secret Manager.

    ·       Hands-on experience deploying and managing applications on GCP — Cloud Run, Artifact Registry, IAM, and related deployment services.

    ·       Understanding of row-level security and data governance patterns.

    ·       Strong React development experience — hooks, state management, component design.

    ·       Experience connecting BI tools (Power BI and/or Tableau) to cloud data warehouses, with BigQuery preferred.

    ·       REST API integration experience.

    ·       UI/UX sensitivity for executive-facing dashboards and reporting tools.

    ·       Git-based version control and comfort working in a CI/CD pipeline (Azure DevOps or equivalent).

    ·       Familiarity with least-privilege IAM practices — no static credentials, scoped service accounts.

    Comfortable working in an agile, sprint-based delivery model across Discovery, Development and Testing phases.

    Sourced from foundit

    Section · 02

    Skills

    · 3–5 years of experience working with GCPor similar). · Python backend development (FastAPI or similar) and REST API design. · Experience with core GCP services: BigQueryReactJS and Python. · Strong SQL and data modelling experience on BigQuery or an equivalent cloud data warehouse. · Experience building ETL/ELT pipelines using GCP-native tools (Dataflowaws iamSecret ManagerCloud ComposerGoogle Cloud RunGoogle Cloud Functions

    Senior Data Engineer · waiting for your command