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    Sr. Data Engineer - Cleveland, United States - Park Place Technologies

    Park Place Technologies
    Park Place Technologies Cleveland, United States

    Found in: Lensa US 4 C2 - 6 days ago

    Default job background
    Description
    Senior Data Engineer

    The Senior Data Engineer is responsible for collecting, designing, and converting complex data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal, which enables our organization to utilize data for performance evaluation and optimization. As a Senior Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively. This includes setting up guardrails and protocols that help the team achieve their goals efficiently while maintaining the quality of their work. Your role is crucial in ensuring the team's success, as you play a significant part in streamlining their workflow and maximizing their productivity.

    What you'll be doing:
    • Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
    • Developing machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
    • Mentoring other members of the Data Engineering team, specifically those in a junior role
    • Work closely with Data Analysts and Business Analysts to clarify their requirements and provide clear guidance on the execution process.
    • Providing peer review support to work produced by others, confirming use of relevant coding standards.
    • Demonstrate mastery of the Software Development Life Cycle.
    What we're looking for:
    • 4+ years of experience in Python development related to data engineering (spark, pandas, etc.).
    • 4+ years of experience in SQL related to data engineering.
    • Experience in designing and implementing complex data pipelines ensuring data quality & consistency.
    • Solid understanding of data warehouse and delta lake design concepts
    • Solid data analytics background
    • Solid understanding of the Software Development Life Cycle
    Bonus Points:
    • Microsoft Cloud Certification
    • Familiarity with Machine Learning and AI
    • Web Development is a plus.
    Education:
    • Bachelor's Degree or Relevant Certifications & equivalent years of experience
    Travel:
    • <10%
    Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

    The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR c)
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