Senior Data Engineer- US Citizen

Retail Industry

  • Dallas, Texas
  • 30+ days ago

    Highlights

    We offer a comprehensive suite of solutions including business and technology consulting, Cloud,e-business and digital transformation services, system integration, custom application development, re-engineering, and long-term application support. Vytwo Technologies is a global leader in enterprise application integration, delivering end-to-end IT consulting and business services for mid to large-scale organizations.

    Numbers & Facts

    LocationDallas, Texas

    Description

    Role: Senior Data Engineer- US CitizenLocation: Minneapolis, MNRate: Depends on experienceAdditional Requirements
    • Must be a U.S. Citizen

    • Must be currently located in Minnesota (MN), or willing to relocate
    DescriptionWe are looking for Senior Data Engineer to join our dynamic team! With our extensive knowledge in application, data, and cloud engineering services, we strive to create groundbreaking solutions that provide real value to our clients.
    Key Responsibilities
    • Design, develop, and maintain scalable data pipelines using Apache Spark (PySpark and/or Scala)
    • Build and optimize data workflows on Databricks, including Delta Lake, notebooks, and scheduled jobs
    • Ingest, transform, and curate large-scale structured and semi-structured datasets
    • Perform performance tuning and cost optimization of Spark workloads and Databricks clusters
    • Implement data quality checks, monitoring, and error handling
    • Collaborate with analytics and business stakeholders to deliver well-modeled, analytics-ready data
    • Support batch processing and, where applicable, streaming data pipelines
    • Follow best practices for testing, documentation, security, and version control
    Required Qualifications
    • 5+ years of experience in Data Engineering or related roles
    • Strong hands-on experience with Apache Spark (PySpark or Scala)
    • Proven experience working in Databricks environments
    • Strong SQL skills and experience with relational and analytical databases
    • Experience building and maintaining ETL/ELT pipelines at scale
    • Familiarity with modern data lake architectures (Delta Lake preferred)
    • Experience with Git-based version control
    • Must be a US Citizen

    Flexible work from home options available.

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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