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    Data Product Owner - Toronto, Canada - Acunor

    Acunor
    Acunor Toronto, Canada

    6 days ago

    Default job background
    Description

    Acunor is hiring for "Data Product Owner" for one of its premier clients. This is a Full Time, Remote opportunity NTorono, Canada. Could you please let me know if you are open to new job opportunities? Kindly reach me on

    Job Title : Data Product Owner

    Location : Toronto_Canada

    Full Time Opportunity

    Responsibilities:

    • Strong understanding of data architecture, modeling, and the ability to work closely with data engineers to oversee the development of data solutions.
    • Expertise in identifying business needs and translating them into technical requirements for data processing and analytics.
    • Proficiency in managing complex projects, prioritizing tasks, and meeting deadlines. Experience with agile methodologies and tools like Jira is essential.
    • Familiarity with data governance principles and practices to ensure that the data strategies align with legal and business standards.
    • Ability to communicate effectively with stakeholders including Business Partners, and technical teams to ensure clarity and alignment on objectives.
    • Strong analytical skills to troubleshoot and resolve data-related issues, optimizing data flows and quality.
    • Hands-on experience with SQL, data warehousing solutions, ETL processes, and PySpark
    • Understanding of the industry and how data-driven insights can drive business strategies and decisions.
    • Ability to lead and inspire teams, acting as a liaison between technical and non-technical stakeholders.
    • Knowledge of quality assurance practices to oversee the testing and validation of data solutions.
    • The capacity to adapt to new challenges and changes in the business environment or technology landscape.

    Qualifications:

    • Bachelor's degree in a quantitative field such as Computer Science, Data Science, or equivalent work experience; master's degree preferred.
    • Solid foundation in data structures, algorithms, and system design.
    • Experience with modern data storage, messaging, and processing tools (e.g., SQL, NoSQL, Kafka, Redis), and cloud services (e.g., Azure, AWS).
    • Proficiency in one or more programming languages relevant to data engineering, such as Python, Java, or Scala.
    • Strong interpersonal skills with the ability to convey complex data concepts to non-technical stakeholders.
    • Certification in Project Management Professional (PMP), Certified Scrum Master (CSM), or similar credentials is a plus.
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