Senior Data Engineer

Capgemini Engineering; Bogotá ciudad; Presencial; COP 60.000.000 - 120.000.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Bogotá is seeking a Release Engineer to plan, manage, and execute software releases across environments from development to production, ensuring smooth deployments and alignment with project timelines.

You will collaborate with multiple pods and stakeholders, review code and documentation, and define robust release processes for data engineering applications. Proficiency with CLI, CI/CD, and data warehousing tools is essential.

Formación

• Experience deploying to test and production environments.
• Familiarity with CI/CD and DevOps pipelines.
• Knowledge of data warehousing and BI tools.

Responsabilidades

• Plan, manage, and execute releases across dev to production.
• Identify interdependencies between tracks.
• Coordinate with development pods and stakeholders.
• Review code, docs, and perform deployment tasks.
• Define release process for data apps.
• Communicate change management to stakeholders.
• Provide release packages and deployment guides.
• Support timelines and adjust priorities as needed.
• Understand client needs: data migration, environments and integration.

Conocimientos

Deployment scripting

CLI proficiency

CI/CD understanding

Git branching

DevOps pipelines

Herramientas

Azure Databricks

Unity Catalog

Python

Spark

PySpark

Airflow

Tableau

MicroStrategy

Descripción del empleo

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same.

Job Description

Your Role:

• Plan, manage, and execute releases across all environments - from development to production.
• Identify technical and functional interdependencies between various tracks.
• Coordinate with all development pods and stakeholders across programs.
• Review application code, documentation, and perform pre/post deployment tasks.
• Define release process for new data engineering applications.
• Change management communication to all required stakeholders.
• Execute release packages, step-by-step deployment guides, and command line instructions on production environment.
• Support project timelines, clearly setting expectations, and realigning expectations internally as priorities change.
• Develop a sound understanding of client’s needs: data conversion and migration requirements, environment management and build processes, deployment planning and execution, solution designs, systems integrations, technical architectures, and infrastructure architectures.

Your Profile:

• Execute deployment scripts and step-by-step instructions in test and production environments.
• Comfortable with Command Line Interfaces.
• Understanding of CI/CD, Git branching, packaging and DevOps pipelines.
• Working knowledge of data warehousing and reporting technologies: Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, Tableau.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.