Jobs

    Senior Data Engineer - Texas, United States - ESB Technologies

    ESB Technologies
    ESB Technologies Texas, United States

    5 days ago

    Default job background
    Description

    Please apply only if you are interested in working on W2.

    Job Title: Senior Data Engineer

    Location: Texas, California, New York, New Jersey

    Company Description: We are a leading [industry/sector] company that specializes in leveraging data-driven insights to drive [company's mission or goal]. Our team is composed of talented individuals who are passionate about harnessing the power of data to make informed business decisions and deliver impactful results.

    Responsibilities:

    • Design, develop, and maintain robust, scalable, and high-performance data pipelines and ETL processes.
    • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements and implement solutions that meet business needs.
    • Architect data systems and infrastructure to ensure scalability, reliability, and efficiency.
    • Optimize and tune existing data pipelines for performance and reliability.
    • Implement best practices for data governance, data quality, and data security.
    • Work closely with DevOps and IT teams to deploy and manage data infrastructure in cloud and on-premises environments.
    • Stay current with emerging technologies and trends in data engineering and recommend new tools and techniques to enhance data processing capabilities.

    Requirements:

    • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
    • 8+ years of experience in data engineering roles, with a proven track record of designing and implementing complex data solutions.
    • Expertise in building data pipelines using technologies such as Apache Spark, Apache Flink, Apache Kafka, or similar distributed processing frameworks.
    • Proficiency in programming languages such as Python, Java, Scala, or SQL.
    • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
    • Strong understanding of data modeling, database design, and data warehousing concepts.
    • Excellent problem-solving skills and ability to work independently or as part of a team in a fast-paced environment.
    • Strong communication skills with the ability to effectively communicate technical concepts to non-technical stakeholders.

    Preferred Qualifications:

    • Experience with big data technologies such as Hadoop, Hive, or HBase.
    • Familiarity with containerization technologies such as Docker and Kubernetes.
    • Experience with streaming data processing and real-time analytics.
    • Knowledge of machine learning and data science concepts.

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