scrum master with SDLC, Devops, DATA ENG/data science

As a Scrum Master, you will play a crucial role in leading Agile teams working on cutting-edge data and AI-driven initiatives, ensuring seamless delivery of projects that align with data strategy.

Scrum Master + Data science or Data engg _ Scrum Master Certification - Tier 1 Organiation Communication (must be really good)

Roles and Responsibilities

• Create product roadmap and project plan.

• Organize and facilitate Scrum team meetings including Release and Sprint planning, Daily Standups, Backlog Grooming, Sprint Demo and

  Retrospectives.

• Support in developing, maintaining, and grooming Product Backlog.

• Remove impediments and manage dependencies, risks, and issues during Sprint execution.

• Provide inputs and clarify business and technical requirements during project and release planning.

• Utilize JIRA, Confluence wiki and Microsoft office tools for product management.

• Lead the team in embracing Test-Driven Development and DevOps principles & practices

  for software development.

Skills Required:

• Strong experience in Agile frameworks (Scrum, Kanban, SAFe, LeSS) for complex data projects.

• Expertise in facilitating Agile ceremonies and ensuring smooth execution.

• Proficiency in Agile metrics and reporting (burn-down charts, velocity tracking).

• Excellent problem-solving, conflict-resolution, and stakeholder management skills.

• Hands-on experience with Agile tools (JIRA, Azure DevOps, Rally, Confluence).

• Strong leadership, communication, and Agile coaching experience at the enterprise level.

• Ability to influence leadership and drive Agile maturity assessments.

Technical Qualifications:

Preferred:

• Bachelor's degree in Computer Science, Information Systems, or a related field.

• 5+ years in a scaled Agile development team.

• Experience in high-tech, software, or telecom industries is a plus.

• Strong analytical skills to translate insights into impactful product initiatives.

• Experience in software development with exposure to Azure, Snowflake, Databricks, Python, PowerBI and data visualization tools.

• Knowledge of DevOps, CI/CD, and cloud-based data solutions (AWS, Azure, GCP).

• Experience with large-scale data pipelines, AI/ML, and cloud computing in an Agile environment.

Shift timing (if any):

Work mode: