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Torrance

    Data Engineer" - Torrance, United States - Siri InfoSolutions Inc

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    Description

    About the Company

    Welcome to our team! We are a dynamic company in the tech industry that values innovation and collaboration. Our focus is on pushing boundaries and delivering top-notch solutions to our clients.


    Job Description

    Title: Data Engineer
    Location: Torrance, CA (Onsite)


    Job Description:

    • Design, develop, and maintain robust and scalable data pipelines for extracting, transforming, and loading data from various sources.
    • Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical specifications.
    • Resolve complex data integration platform issues and coordinate with vendors for product-related matters.
    • Implement data governance best practices to ensure data quality, consistency, and security.
    • Document data pipelines and technical specifications for knowledge sharing.
    • Collaborate on defining and implementing technology direction within the data integration space.
    • Optimize data pipelines for performance using techniques like parallel processing and caching.
    • Administer Data Integration product platforms, including backups and deployments.
    • Participate in code reviews, agile ceremonies, and meetings to contribute to team success.

    Required Work Experience:

    • Bachelor's degree in computer science or related field.
    • 5+ years of experience in data engineering, ETL processes, and data warehousing.
    • 3+ years of experience with AWS tools (S3, EMR, Glue, Athena, RedShift).
    • 3+ years of experience in programming languages like Python, Java, or Scala.
    • Strong knowledge of data storage and processing technologies.
    • Experience with database platforms like DB2, SQL Server, Postgres.
    • Understanding of data security, privacy, and compliance.
    • Excellent problem-solving and communication skills.
    • Ability to work collaboratively in cross-functional teams.
    • Attention to detail and commitment to data quality.
    • Continuous learning mindset to stay updated on evolving technologies.

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