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  • Data Engineer with Quantexa
    New

    Data Engineer with Quantexa

    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      English

      C1

      Python

      advanced

      Quantexa

      regular

      Apache Spark

      regular

      Apache Hadoop

      nice to have

      Scala

      nice to have

    Job description

    Online interview
    Friendly offer

    On behalf of a client we are searching for a Data Engineer with Quantexa certification to work on the Project Quantexa scorecard based monitoring for payments.


    • Preferred start date: 01-04-2025 / or ASAP after this date
    • End date of the project: 31-12-2025 - after this date possible extensions
    • Work location: Remote
    • Employment utilization: Full-time
    • Rate: we are open to the candidates expectations as Quantexa experience is not that common and it's a must have on this position.


    Responsibilities:

    • ETL Development: Implement ETL processes from AWS S3 to Quantexa data models.
    • Data Quality Controls: Build data quality and lineage controls, focusing on score CDEs.
    • ER & Network Requirements: Execute ER and network needs based on scorecard requirements.
    • Score Development: Develop and test individual scores for the scorecard.
    • UI Configuration: Configure UI for data viewing and task management.
    • Alerting & Task Management: Develop alerting and task loading systems.
    • System Integration: Integrate Quantexa with case management system.
    • End-to-End Flow: Construct e2e flow for data, scoring, and alerting.


    Must haves:

    • Extensive experience in software development with strong knowledge of Scala, Hadoop, Spark, Python.
    • Certified in Quantexa, with the ability to work independently and promote best practices in its use.
    • Strong understanding of data engineering practices, including designing ETL flows and ensuring data quality.
    • Ability to lead efforts in best practices and mentor team members


    Nice to haves:

    • Collaboration: Ability to work effectively with experts and inexperienced developers.
    • Strong analytical skills with attention to detail.


    Undisclosed Salary

    B2B

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