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    Solutions - Data Engineer - Power Bi - Pune, India - Intellify

    Intellify
    Intellify Pune, India

    4 days ago

    Default job background
    Full time Technology / Internet
    Description

    Job Description :
    Job Title : Data Engineer and Power BI Data Visualization Engineer Work location : Pune (Kothrud)

    Job Type :
    PERMANENT (Full-time and on company payroll)No.

    of Working days (Per Week) : 5-days week (MON to FRI)

    Mode of Work :
    Work From Office (WFO) for 5-days is required (initially from Kothrud office and thereafter from Baner as they are planning to shift office from Kothrud to Baner in the year 2024)

    Qualifications :
    Role : Data Engineer Exp : 9-15 years Key Responsibilities:

    • Develop and maintain scalable data pipelines using Spark, Python, and Scala within Azure Databricks or similar cloud-based environments.
    • Collaborate with cross-functional teams across the globe to understand data requirements and implement efficient solutions.
    • Utilize SQL and other querying languages to manipulate and extract data from various sources, ensuring accuracy and efficiency.
    • Design, build, and optimize data models and architectures to support data processing and analytics needs.
    • Ensure data quality, integrity, and security while adhering to best practices and compliance standards.
    • Work closely with stakeholders to understand business needs and translate them into technical requirements for data solutions.
    • Mentor and guide junior team members, fostering a collaborative and knowledge-sharing environment.
    • Communicate effectively with global teams, providing updates, insights, and support as needed.

    Minimum Experience, Behaviors and Education : Requirements:

    • Bachelors or masters degree in computer science, Engineering, or a related field.
    • 7+ years of hands-on experience as a Data Engineer, preferably in a global organization.
    • End to end knowledge of Life Cycle of ML Model.
    • Proficiency in Spark, Python, Azure Databricks, SQL, and Scala.
    • Experience working with cloud platforms such as Azure or GCP, leveraging their data services.
    • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
    • Ability to work effectively in a global, multicultural team environment, across different time zones.
    • Proven track record of delivering on multiple projects with a focus on scalability, reliability, and performance.
    • Excellent problem-solving skills and a proactive approach to tackling complex data challenges.)
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