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  • Posted: Apr 5, 2022
    Deadline: Not specified
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    Parallel Score is a product development firm that develops data and user-centric solutions by leveraging designs, engineering, and innovative thinking. We are a provocative product development agency that is focused on imagining and building highly-interactive and user- driven experiences that push the limits of user design and development. We dissect ...
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    Data Engineer

    Job Description

    • Our company is looking to fill the role of a Data Engineer.
    • To join our growing team, please review the list of responsibilities and requirements.

    Job Responsibilities

    • The ability to clean, analyze, integrate and process complex data
    • Experience in analytical, machine learning, and statistical modeling techniques, in identifying patterns and signals (desirable)
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Azure ‘big data’ technologies.
    • Good at communicating to all levels, with the ability to share information and transfer knowledge and expertise to other colleagues
    • Open-minded and able to see the bigger picture
    • Collect and mine data to provide a better user experience
    • Mine massive datasets that are high-dimensional graph-based
    • Deploy data processing and analysis pipelines
    • Capability to self-learn new technologies in a 4-week timeframe
    • Design, build and maintain all parts of the data warehouse infrastructure to support adaptive streaming analysis (requirements gathering, ETL, data modeling, metric design, reporting/dash-boarding, etc)

    Skills

    • Statistical concepts
    • Administrative Coding
    • Agile development methodology
    • AWS and Azure platform
    • Data modeling best practices and the ability to apply an analytical & structured approach
    • Data pre-processing
    • Data-bricks, Delta lake, Hadoop, Spark, Kafka,
    • Feature engineering.

    Job Requirements

    • Experience with big data tools: Databricks, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases.
    • Experience with data pipeline and workflow management tools
    • Experience with AWS or Azure cloud services related to big data and data migration
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented / object function scripting languages: Python, Java, Javascript, etc.

    Method of Application

    Interested and qualified? Go to ParallelScore on parallelscore.com to apply

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