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    Spark/Big Data Developer - Dallas, United States - Theron Solutions

    Theron Solutions
    Theron Solutions Dallas, United States

    2 weeks ago

    Default job background
    Description

    JOB DESCRIPTION:

    • The data engineer role is a technical person who is involved with architecting, building, testing, and maintaining the data platform.
    • Data engineers will implement infrastructure for data processing, analysis, reporting, integrations, and machine learning model deployment.

    RESPONSIBILITIES:

    • Technical expertise with distributed Spark or other distributed data processing technologies
    • Work with large, complex data sets and high throughput data pipelines that meet business requirements.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
    • Build data and analytics tools that utilize the data pipeline to provide actionable insights to operational efficiency and other key business performance metrics.
    • Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.
    • Collaborate with data scientists and architects on several projects.
    • Solve various complex problems.
    • Designing processes to integrate data from multiple sources to facilitate client centric advanced analytics.
    • Developing efficient, scalable and repeatable processes to transform data into insight on regular basis.

    QUALIFICATIONS:

    • Degree in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering
    • Previous experience as a data engineer or in a similar role
    • 5+ years of Python development experience is necessary.
    • Hands-on experience with database technologies (e.g. SQL and NoSQL)
    • Experience building high throughput data pipelines.
    • Technical expertise with distributed Spark or other distributed data processing technologies
    • Experience with machine learning techniques.
    • Great numerical and analytical skills
    • Ability to write reusable code components.
    • Open-minded to the new technologies, frameworks
    • Thorough business analysis skills
    • Understanding Blockchain system mechanism
    • Knowledge of data preparation techniques to aid statistical analysis.
    • Results-oriented self-starter who is confident in defending his/her critical thinking abilities.

    Must have:

    • Degree in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering
    • Ability to write reusable code components
    • 5+ years of Python development experience
    • Technical expertise with distributed Spark
    • Spark Batch Processing
    • Spark Stream processing
    • Data warehousing in advanced NoSQL datastores
    • Building high throughput data pipelines
    • Machine Learning techniques
    • Great numerical and analytical skills
    • Knowledge of data preparation techniques to aid statistical analysis

    Nice to have:

    • Understanding Blockchain system mechanism

    Equal Opportunity Employer:

    Our client is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at our client are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

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