Scrum Master - Remote
Guadalajara, JAL, MX
Capgemini
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.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 life-saving 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.
YOUR ROLE
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.
- Monitor project timelines, milestones, and deliverables.
- Organize and lead daily stand-ups, refinement sessions, sprint planning, sprint reviews and retrospectives.
- User story creation: 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.
- Act as a liaison between technical and non-technical stakeholders.
- Prepare and present weekly management updates.
- Monitor the status of Data Bricks 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.
- Review team monitoring reports to identify issues and create corresponding PBI´s for resolution.
YOUR PROFILE
- 5-6 years of experience as a Project Manager in a software development environment.
- Excellent understanding of the software development cycle.
- Experience in writing user stories and managing product backlog.
- Excellent communication in 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.
- Proficiency in Python
- Strong understanding of ETL/ELT processes.
- Experience with Azure Cloud Services and Azure Data Factory.
- Focus system maintenance.
Nice to have:
- Certification in PM (Agile, Scrum, PMP)
- Background in AI, Data Science, or related fields.
WHAT YOU’LL LOVE ABOUT WORKING HERE?
- At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.
- At Capgemini Engineering, we’re always looking ahead. We’re part of a team that creates opportunities to achieve valuable change. Change that makes a difference. New connections, new technologies, new ways to work. It’s so energizing.
- At Capgemini Engineering, we make it easy for you to deepen knowledge and learn new skills while you’re still doing the day job.
ABOUT CAPGEMINI
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.
Get the future you want!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Databricks DevOps ELT Engineering ETL Pipelines Python R R&D Scrum Spark
Perks/benefits: Career development
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