Data Engineer - Dashboarding Lead

0 years

0 Lacs

Posted:5 days ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

WHAT YOU DO AT AMD CHANGES EVERYTHING

Together, we advance your career.

Dashboarding & Data Science Lead - MTS/SMTS (Bangalore)

THE ROLE:

Design the next-generation PnP Data Platform-centralizing all silicon, system, and benchmarking data into a scalable, queryable, visual platform accessible across AMD leadership.

Key Responsibilities

  • Build a

    central data ingestion pipeline

    consolidating Excel, PPT, lab logs, regression results, and performance datasets.
  • Design a scalable

    PnP database schema

    for fast querying and cross-generation comparisons.
  • Build beautiful, intuitive

    front-end dashboards

    (web UI) with search, filters, data slicing, and chart rendering.
  • Automate report creation (graphs, tables, slides).
  • Own data versioning, data quality, and long-term architecture.

Required Qualifications

  • Strong in Python, SQL, data pipelines, dashboards (PowerBI/Plotly/Dash/Streamlit).
  • Experience in data engineering, visualization, or automation for silicon/software teams.
  • Strong Python (pandas), SQL, visualization (Plotly/Matplotlib), and web frameworks experience with CI/CD.

Preferred Qualifications

  • Understanding of PnP metrics, workloads, or silicon validation.

#LI-NR1

Benefits offered are described: .

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants needs under the respective laws throughout all stages of the recruitment and selection process.

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