Data Engineer

Qode

  • Texas, TX
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Big Dataunmatched
    • Cloud Computingunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Migrationunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Database Optimizationunmatched
    • GCP (Good Clinical Practices)unmatched
    • Identify Issuesunmatched
    • Microsoft Windows Azureunmatched
    • Multiplatform/Cross-Platformunmatched
    • Performance Tuning/Optimizationunmatched
    • SQL (Structured Query Language)unmatched
    • SQL Databasesunmatched
    • Scalable System Developmentunmatched
    • Security Infrastructureunmatched

    Description

    Job Title: Data Engineer – MEM SQL
    Location: New Jersey / Irving, TX / Tampa, FL
    Job Description:
    We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.
    Responsibilities:
    • Design, develop, and maintain scalable data pipelines and ETL processes
    • Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
    • Optimize database performance, queries, and data models
    • Collaborate with data scientists, analysts, and application teams to support data needs
    • Ensure data quality, reliability, and security across data platforms
    • Monitor and troubleshoot data pipeline and system issues
    • Support data migration and integration activities
    Required Skills:
    • Strong experience as a Data Engineer
    • Hands-on experience with MEM SQL (SingleStore)
    • Strong SQL skills and database optimization experience
    • Experience with ETL tools and data pipeline frameworks
    • Knowledge of data modeling and data warehousing concepts
    • Experience working with large datasets and real-time data processing
    Preferred Skills:
    • Experience with cloud platforms (AWS / Azure / GCP)
    • Knowledge of Big Data technologies (Spark, Kafka, etc.)
    • Telecom domain experience (preferred, not mandatory)

    Numbers & Facts

    LocationTexas, TX

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