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    Data Engineer - Raleigh, United States - LHH

    LHH
    LHH Raleigh, United States

    4 weeks ago

    LHH background
    Description

    ***Candidates must be local Raleigh, NC area for a hybrid commute***

    Is this the role you are looking for If so read on for more details, and make sure to apply today.

    We are seeking a talented junior-mid level experienced data engineer for a mid-large company in the manufacturing industry. The ideal candidate will be passionate about leveraging data to solve complex problems and drive business value. This role offers the opportunity to work at the intersection of technology and manufacturing, contributing to a mission of delivering excellence in every aspect of our operations.

    Key Responsibilities:

    • Design, develop, and maintain data pipelines to support various business functions.
    • Collaborate with cross-functional teams to gather requirements and implement data solutions.
    • Optimize data infrastructure and processes for performance, scalability, and reliability.
    • Conduct thorough testing and debugging of data systems to ensure accuracy and efficiency.
    • Perform data modeling and database management tasks to support analytical initiatives.
    • Implement DevOps best practices for continuous integration and deployment.
    • Utilize Git for version control and collaborative development.
    • Write efficient SQL queries for data extraction, transformation, and analysis.
    • Develop scripts and applications in Python to automate tasks and enhance data workflows.

    Requirements:

    • Bachelor's degree in Computer Science, Engineering, or a related field.
    • 5+ years of professional experience in data engineering or a related role.
    • 3+ years of experience with Snowflake data platform.
    • Experience with cloud data technologies, particularly AWS (e.g., Amazon Redshift, Amazon S3, AWS Glue).
    • Proficiency in DevOps principles and practices.
    • Strong command of Git for version control and collaborative development.
    • Expertise in SQL for data manipulation and analysis.
    • Proficiency in Python for scripting and application development.
    • Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB).
    • Solid understanding of data modeling concepts and techniques.

    Preferred:

    • Familiarity with big data frameworks and tools (e.g., Hadoop, Spark).
    • Knowledge of data visualization tools (e.g., Tableau, Power BI).
    • Understanding of machine learning concepts and algorithms.
    • Strong analytical and problem-solving skills.
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