GlobalLogic India Private Limited | Jobs | Data Engineer | BigDataKB.com | 12-02-22

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    Job Location: Noida

    Job Description: Data Engineer
    Organization Prof. Experience/Qualification
    Education
    Role
    • Bachelors in Computer Science or Math or Statistics
    Data Engineer will create and maintain the tech. infrastructure required for optimal processing of
    Experience
    data. He/she will provide structured data to enable Data Scientist to analyze and build Demand
    • 5+ years of experience in data engineering and data management
    Sensing tool for predictive hiring. Role includes developing data models, creating data pipelines,
    Specialized skills/others
    and managing data retrieval, storage and distribution.
    • Hadoop, Hive, Pig, Scala (Good to have), Java
    Compensation Negotiable
    • Amazon Web Services/Redshift (for data warehousing)
    • Strong Algorithms, Data Cleansing techniques along with ETL
    Organizational unit, Location Tech. Team, Ascend Program, India• Good experience with SQL with Pig/Hive or similar tech and knowledge of Python is preferred.
    Reports to
    Head, Engineering, Ascend Program
    Direct reports NA Main Interfaces
    Data Scientist, Head TAG, Head L&D, Placement Liaison, Delivery Heads; external parties
    including 3rd party data source tools/platform vendorsPrimary Accountabilities Talent Engine 2.0 implementation (next 12 months)
    Alignment on data needs: Communicate with Data Scientist to understand the data
    requirements and customization required for building the Demand Sensing tool • Process improvements: Evaluate data quality issues and implement process improvements;
    refine data reporting processes through automation and simplification of self-service options • Data preparation: Cleanse raw data and ensure data is comprehensive and robust; establish
    rules for treating missing values (delete, sum, average etc.) and fix errors to prepare data for
    predictive modeling by Data Scientist • Policies, methods and standards: Document database structures, data standards, procedures
    and definitions for the data dictionary• Data pipeline development: Build and maintain data pipelines and databases to collect and
    transform data from multiple sources – internal data (CRM/sales pipeline, HR MIS data etc.) and
    external sources (3rd Party tools, research agencies, professional networks etc.)
    KPIs
    1. Data quality (# incidents/issues reported by user e.g. Data Scientist)
    2. Data uptime (% of times data delivered/updated per expected frequency)
    3. % availability1 of data systems
    1) % of times the data systems are operational under normal circumstances
    CONFIDENTIAL: Not for reproduction and / or distribution without express written consent of GlobalLogic 1

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