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    Big Data Solutions Engineer - Delhi, India - Gethyr

    Gethyr
    Gethyr Delhi, India

    2 days ago

    Default job background
    Description

    Our company is seeking a talented Big Data Solutions Engineer to join our team.

    The ideal candidate will be responsible for designing, developing, and implementing our proprietary Bigdata-powered Fin Crime solution for our clients.

    The candidate will work closely with the software development team, data scientists, and product managers to understand requirements, and configure and implement our Fin Crime solution.

    The responsibilities of the candidate will be as follows :

    Responsibilities :

    Create and maintain data pipelines that transfer data from select locations (maintaining security protocols) into our Big Data financial crime solution.

    Develop, implement, and standardize ETL processes to transform and cleanse data for pipeline development and reporting.

    Develop and implement data models and schemas to support analytical applications and data visualization tools.

    Monitor and troubleshoot issues with our proprietary Big Data financial crime solution and provide timely resolution.

    Develop and implement security and data privacy measures to protect sensitive data.

    Develop and maintain documentation and training materials for end-users and stakeholders.

    Keep up to date with emerging trends and technologies in Big Data, data analytics, and data :

    Bachelor's degree in computer science, Engineering, or related field.

    4+ years of experience in designing, configuring, and implementing Big Data solutions, preferably with financial crime solutions.

    Strong programming skills in Java, Python, or Scala.

    Strong understanding of data modeling, data warehousing, and ETL processes.

    Strong understanding of Big Data technologies and their architectures, including Hadoop, Spark, and NoSQL databases.

    Strong analytical and problem-solving skills.

    Excellent communication and interpersonal skills.

    Ability to work in a fast-paced, team-oriented environment.

    Ability to manage multiple priorities and deadlines.

    Experience with AWS is a plus.

    )
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