Role: Data Product Owner
Location: Canada/US(Florida)Remote
Duration: Fulltime
Job Description:
Must Have: Data Engineer (atleast 45 years of experience Data Analysis Understand of table) SQL
Experience Level: 813 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 datarelated issues optimizing data flows and quality.
- Handson experience with SQL data warehousing solutions ETL processes and PySpark
- Understanding of the industry and how datadriven insights can drive business strategies and decisions.
- Ability to lead and inspire teams acting as a liaison between technical and nontechnical 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:
- Bachelors degree in a quantitative field such as Computer Science Data Science or equivalent work experience; masters 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 nontechnical stakeholders.
- Certification in Project Management Professional (PMP) Certified Scrum Master (CSM) or similar credentials is a plus.