Mid-level Data Engineer

1 dia atrás


Brasil NTConsult Tempo inteiro US$90.000 - US$120.000 por ano

The company: We are a global custom software development and IT project staffing organization without geographic restrictions; we operate globally, navigating technology and business challenges with expertise. Our U.S. headquarters are in San Diego, California and we also have strategically located development centers in Brazil, Mexico, Peru, and Uruguay.  Our Latin America headquarters are based in Porto Alegre, Brazil, with a branch in São Paulo.  For over two decades, we have been globally recognized in the software and innovation market for delivering projects with added value, crafted by agile teams of skilled professionals. Check out our international page at:  

The project: We are looking for an exceptional Data Engineer for this fully remote opportunity to work with a US-based client in the Bank Investments services industry. You will design, develop, and support data pipelines and ETL processes for proprietary applications. This role focuses on data engineering fundamentals, including data transformation, database design, and analytics support.
Responsibilities:
  • Develop and
    maintain data pipelines and ETL processes using C# (.NET) and SQL.
  • Assist in
    designing and implementing data models and database structures.
  • Perform data
    analysis to support business decisions and reporting needs.
  • Collaborate
    with cross-functional teams to understand data requirements and deliver
    solutions.
  • Provide
    production support for data systems, including monitoring,
    troubleshooting, and resolving issues.
  • Participate in
    evening release activities, including deployment validation and
    post-release support.
  • Ensure data
    quality, integrity, and security across systems.
  • Document
    processes, workflows, and technical specifications.

Requirements:

  • Proficiency in C#
    (.NET) for backend development and data processing.
  • Strong
    knowledge of SQL for querying, data manipulation, and performance
    optimization.
  • Understanding
    of data engineering concepts such as ETL, data warehousing, and
    data pipelines.
  • Experience with
    data analysis using tools like Excel, Power BI, or Python
    (preferred).
  • Familiarity
    with version control systems (e.g., Git).
  • Strong
    problem-solving skills and attention to detail.
  • Excellent
    communication and collaboration abilities.

Preferred skills:

  • Exposure to
    cloud platforms (e.g., Azure, AWS, GCP).
  • Experience with
    data visualization tools.
  • Knowledge of
    Agile development methodologies.


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