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    Data Architect - Pune, India - HyrEzy Talent Solutions

    HyrEzy Talent Solutions
    HyrEzy Talent Solutions Pune, India

    6 days ago

    Default job background
    permanent Technology / Internet
    Description

    Position : GCP Data : 8-15 Years

    Budget : 20-35 LPA
    Location : Baner, Pune (Work from office)

    Notice period not more than 30 days.

    Interview Process :


    - Initial Shortlist within 24 hours

    - Evaluation will involve technical discussions and final discussion (overall TAT of 3-4 days).

    About company :

    It is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client's success.

    Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our customers achieve their trajectory of growth.

    Roles & Responsibilities :

    GCP Data Architect with professional experience in implementation of data platforms necessary to process and analyze large and complex datasets by using GCP technologies.

    Core Responsibilities :
    • Design, develop and implement data ingestion pipelines to collect, process, and store large and complex datasets using GCP technologies.
    • Design and implement data platforms using GCP services such as Cloud Storage, BigQuery, and Dataflow.
    • Develop data pipelines to ingest, transform, and load data from various sources into GCP.
    • Optimize data processing performance and efficiency using GCP tools and technologies.
    • Collaborate with data scientists and analysts to design and implement data models and algorithms for analysis and machine learning.
    • Ensure the security, availability, and reliability of Cloud Data Platform systems.
    Required Qualifications :
    • Bachelor's Engineering Degree in Computer Science, Information Systems, or relevant discipline.
    • 8 to 15 years of relevant technology experience.
    • Deep experience in GCP cloud data development.
    • Experience with GCP Cloud Data technologies such as Cloud Storage, BigQuery, Dataflow, GCP tools, Spark, and Kafka.
    • Proficiency in programming languages such as Scala, Java or Python
    • Experience with distributed computing and database systems.
    • Experience with troubleshooting data issues and identifying root causes of performance bottlenecks.
    • Aligned with the latest trends and technologies in data engineering and GCP.
    • Strong problem-solving and analytical skills.
    • Excellent verbal & written communication and collaboration skills.
    • Customer-focused, react well to changes, work with teams and be able to multitask on multiple products and projects.
    • Must be self-motivated and objective driven.
    • He/She should be ready to learn new domain and technology based on organization strategy.
    )
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