Description

The role involves coordinating cross-functional teams, defining user stories, tracking delivery progress, and communicating status updates and KPIs to leadership in a clear and business-friendly manner.

Requirement/Must Have:

• 5+ years of experience in cloud engineering, platform engineering, or Agile product ownership roles.
• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) services including BigQuery, Dataflow, Dataproc, Cloud Storage, and Composer.
• Experience with Agile delivery and running Agile ceremonies (standups, sprint planning, sprint reviews, retrospectives).
• Strong experience with Infrastructure as Code using Terraform.
• Experience with CI/CD tools such as Harness or GitHub Actions.
• Strong programming knowledge in Python, SQL, and Shell scripting.
• Strong communication and stakeholder management skills.
• Ability to translate business requirements into technical deliverables.

Experience:

• Experience owning and managing product backlogs aligned with business and technical priorities.
• Experience defining user stories, acceptance criteria, and sprint goals.
• Experience tracking sprint progress, dependencies, risks, and delivery milestones.
• Experience providing leadership updates on KPIs, delivery progress, risks, and mitigations.
• Experience coordinating with engineering, architecture, and business stakeholders.
• Experience working in Agile-driven cloud or data engineering environments.

Responsibilities:

• Own and manage the product backlog ensuring alignment with business priorities.
• Define and refine user stories, acceptance criteria, and sprint goals.
• Lead Agile ceremonies including standups, sprint planning, sprint reviews, and retrospectives.
• Track sprint progress, dependencies, and risks to ensure timely delivery.
• Provide regular updates to leadership on delivery progress, risks, mitigations, and KPIs.
• Translate technical updates into business-friendly communication.
• Coordinate with cross-functional teams including engineering, architecture, and business stakeholders.
• Monitor KPIs and ensure proactive communication of status updates.

Should Have:

• Strong problem-solving and analytical skills.
• Experience in data engineering tools and frameworks.
• Experience working in large-scale cloud environments.
• Strong presentation and executive communication skills.

Skills:

• Google Cloud Platform (Google Cloud Platform).
• BigQuery, Dataflow, Dataproc, Cloud Storage, Composer.
• Terraform (Infrastructure as Code).
• CI/CD tools (Harness, GitHub Actions).
• Agile methodology and Scrum ceremonies.
• Python, SQL, Shell scripting.
• Product backlog management.
• Stakeholder management and communication.
• KPI tracking and reporting.

Qualification And Education:

Bachelor s degree in Computer Science, Information Technology, Engineering, or related field preferred. Equivalent professional experience accepted

Key Skills

Education

Any Graduate