Data Product Owner - US
Data Product Owner - US
Zortech Solutions
United States
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Role: Data Product Owner
Location: Canada/US(Florida)-Remote
Duration: Fulltime
Job Description
Must Have: Data Engineer (atleast 4-5 years of experience, Data Analysis, Understand of table), SQL
Experience Level: 8-13 Years
Responsibilities
Location: Canada/US(Florida)-Remote
Duration: Fulltime
Job Description
Must Have: Data Engineer (atleast 4-5 years of experience, Data Analysis, Understand of table), SQL
Experience Level: 8-13 Years
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.
- 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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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Product Management and Marketing -
Industries
Human Resources Services
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