Sr. Advisor, GCP Engineer AdTech Operations - Bengaluru, India - Dell

    Dell
    Dell Bengaluru, India

    2 weeks ago

    DELL background
    Description

    What you'll achieveThe Data Engineer will help develop solutions using statistical and data mining methods, working closely with our Analytics, Ad Tech, and Solutions Engineering teams.

    The candidate can expect to participate in all phases of projects, including project definition, data discovery, model development and/or data mining, evaluating options, and making recommendations.

    You WillMine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses.

    Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results.

    Utilize data visualization techniques to explain data and models to clients and internal teams (Tableau, Power BI, Data Studio, etc.)Integration of technology platforms and amalgamation of disparate client data sourcesCollaborate with the team to integrate new data sources (e.g., ad server data, Demand Side Platform (DSP) data, website analytics) into the GCP.Deploy cloud resources to perform analysis on large data sets.

    Take the first step towards your dream career

    Every Dell Technologies team member brings something unique to the table.

    Here's what we are looking for with this role:

    Essential Requirements

    Strong analytical problem-solving skills and ability to work with incomplete or imperfect data.

    Strong Project Management Skills Excellent verbal & written communication skillsOverall work experience 8+ years4+ years of experience in digital analytics and digital advertising4+ year of experience with ETL of experience analyzing data with SQL and/or Python/R2+ years of experience with Google Analytics Working with big data (experience with Big Query good to have)Desirable RequirementsPassionate about working in an extremely fast-paced, demanding, and fluid startup environment.

    Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making.
    Bachelor's/Master's degree in quantitative field (analytics, computer science, engineering, mathematics, statistics etc)