Scrum Master and Data

Scrum Master - Work from home

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RESPONSIBILITIES

We are looking for an individual who will dedicate 50% of their efforts as a Scrum Master and the other 50% as a Data Engineer, always prioritizing Scrum Master activities, as that is the most important part.

Monitor project timelines, milestones and deliverables

Organize and lead daily stand-ups, refinement sessions, sprint planning, sprint reviews and retrospectives.

Ensure effiecient workflow and communication within the team

User story cration: gather requirements from stakeholders, write clear, concise and comprehensive user stories.

Prioritize and maintain the product backlog on the Azure DevOps (ADO) board.

Work closely with the development team to understand technical challenges and requirements

Facilitate Scrum events: Such as daily stand-ups, sprint planning, and retrospectives.

Act as a liaison between technical and non-technical stakeholders.

Support product owners

Prepare and present weekly management updates

Encourage continous improvement in team process to enhace productivity.

Ability to estimate effort and monitor team capacity in terms of effort points for each sprint and PI planning

As Data Engineer:

Review team monitoring reports to identify issues and create corresponding PBI s for resolution.

Monitor the status of DataBricks jobs and ADF pipelines.

Understand the concepts of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.

Work with Azure Cloud Services, Azure Data Factory and Python / SPARK

Skills:

As Scrum Master:

Proven experience as a Project Manager in a software development environment

Excellent undestanding of the software development cycle.

Experience in writing user stories and managing product backlog

Excellent communication (Spanish & English) and teamwork skills

Proficiency in creating and managing PBI s in Azure DevOps.

Strong understanding of Scrum principles and practices

Experience with skills bingo and fostering T-shaped teams.

Experience in PI planning.

As Data Engineer:

Proficiency in Python

Strong understandig of ETL/ELT processes.

Experience with Azure Cloud Services and Azure Data Factory

Ability to review monitoring reports and create PBIs for necessary fixes.

Focus system maintenance.

Desirable:

Certification in project management (eg. Agile, Scrum, PMP).

ABOUT CAPGEMINI

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to lifesaving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

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