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    Senior Data Engineer - Cleveland, United States - UpRecruit

    UpRecruit
    UpRecruit Cleveland, United States

    3 weeks ago

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    Description

    Job Details:

    Title:
    Sr. Data Engineer


    Salary:
    $160K - $180K

    Requirements:
    airflow, dbt, Snowflake, AWS, Python, SQL

    Location: 100% Remote

    Our client, a personal finance startup, is seeking a Sr. Data Engineer to join their team.

    This role entails spearheading the evolution and upkeep of the Enterprise Data Platform - this includes overseeing a cutting-edge Serverless Data Lake, a Cloud Data Warehouse hosted on AWS, and critical data and application pipelines.

    If you are looking to broaden your responsibilities, take on various leadership challenges, and propel your career growth, this is the opportunity you've been waiting for


    Responsibilities:
    Develop advanced data pipelines leveraging dbt, Airflow, and Snowflake, prioritizing performance optimization and data integrity using Great Expectations
    Lead architectural design sessions for our modern data stack, ensuring seamless integration with Snowflake, Airflow, dbt, Great Expectations, and AWS data services
    Collaborate with data science and product management teams to design, prototype, and launch new data products swiftly
    Tackle intricate challenges with innovative, streamlined solutions, prioritizing reliability, scalability, quality, and cost-effectiveness
    Establish processes for data transformation, metadata management, and workload optimization
    Partner with the team to conduct root cause analyses and audit internal and external data and processes to address specific business inquiries

    Requirements

    Master's (or B.S. with industry experience) in math, statistics, computer science, or related field
    5+ years in Dimensional Data Warehousing/Data Modeling and 'Big Data'
    5+ years in pivotal Software/Data Engineering roles, with expertise in Snowflake, Airflow, dbt, and AWS
    Proficient in Python and SQL for complex data operations and transformations
    Experienced in data quality assurance frameworks, particularly Great Expectations
    Collaborates with data analytics to align business needs
    Familiar with AWS infrastructure
    Strong problem-solving skills for agile environments
    Excellent communication and teamwork
    Curious and passionate about data and problem-solving
    Challenges data validity and assumptions

    #J-18808-Ljbffr
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