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    Data Product Owner - Orlando, United States - iShare Inc

    iShare Inc
    iShare Inc Orlando, United States

    3 weeks ago

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    Description

    Job Description

    Job DescriptionHiring on behalf of a client for the role of

    Data Product Owner , Full time hire for 2 locations- CAN, Florida (US), Remote roles

    Responsibilities:
    1. Strong understanding of data architecture, modeling, and the ability to work closely with data engineers to oversee the development of data solutions.
    2. Expertise in identifying business needs and translating them into technical requirements for data processing and analytics.
    3. Proficiency in managing complex projects, prioritizing tasks, and meeting deadlines. Experience with agile methodologies and tools like Jira is essential.
    4. Familiarity with data governance principles and practices to ensure that the data strategies align with legal and business standards.
    5. Ability to communicate effectively with stakeholders including Business Partners, and technical teams to ensure clarity and alignment on objectives.
    6. Strong analytical skills to troubleshoot and resolve data-related issues, optimizing data flows and quality.
    7. Hands-on experience with SQL, data warehousing solutions, ETL processes, and PySpark
    8. Understanding of the industry and how data-driven insights can drive business strategies and decisions.
    9. Ability to lead and inspire teams, acting as a liaison between technical and non-technical stakeholders.
    10. Knowledge of quality assurance practices to oversee the testing and validation of data solutions.
    11. The capacity to adapt to new challenges and changes in the business environment or technology landscape.
    Qualifications:
    1. Bachelors degree in a quantitative field such as Computer Science, Data Science, or equivalent work experience; masters degree preferred.
    2. Solid foundation in data structures, algorithms, and system design.
    3. Experience with modern data storage, messaging, and processing tools (e.g., SQL, NoSQL, Kafka, Redis), and cloud services (e.g., Azure, AWS).
    4. Proficiency in one or more programming languages relevant to data engineering, such as Python, Java, or Scala.
    5. Strong interpersonal skills with the ability to convey complex data concepts to non-technical stakeholders.
    6. Certification in Project Management Professional (PMP), Certified Scrum Master (CSM), or similar credentials is a plus.

    This is a remote position.

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