RH: Lessly Mujica Location: any state of Mexico General Description: Working experience in GCP cloud with good knowledge in python , SQL/NoSQL , BigQuery, Workflow orchestration(Airflow/Cloud Composer) Responsibilities: · Hands knowledge or GCP Big Query (SQL) · Knowledge on Data warehouse · Data forms · Excellent data engineering skills including expert SQL, data modeling, and query optimization · Strong experience with big data stack (Spark, PySpark, Hadoop, HIVE, BigQuery, Pub/Sub) in building scalable ETL pipelines · Excellent programming skills (Python) including production level coding techniques (testing, OOP structures, optimization, etc) · Demonstrated cloud-native focus with relevant cloud experience, preferably Google Cloud Platform or Azure · Data visualization and dashboarding experience · Great at debugging, troubleshooting, designing, and implementing solutions to complex technical issues · Aptitude to independently learn new technologies, prototype, and propose solutions Soft skills: Work Underpressure, Quality at work, Results Oriented What can YOU expect in a career with Capgemini? - Working in a team environment, Consultants will focus on the analysis, design and development of technology-based solutions for Capgemini’s clients. - You will work alongside technical, functional and industry specialists to assist with the development, implementation and integration of innovative system solutions including methods, techniques and tools. - You will contribute to client satisfaction by providing timely and responsive value-added services and work products. - Capgemini offers a competitive compensation and benefits package. - Headquartered in Paris, France, Capgemini has a presence of more than 340 thousand professionals in Mexico distributed among 3 sites located in Mexico City, Monterrey and Aguascalientes. A deeply multicultural organization. - Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore, its worldwide delivery model. You will love this job because - Capgemini focuses on giving each new hire a YOU-nique experience through our recruitment process and on-boarding program, as well as by helping you to build your own career and professional skills foundation. - Capgemini provides a collaborative environment that embodies and holds the following stated values close to heart: Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun. - Capgemini cultivates an atmosphere for development that enables YOU to be hands-on, planning for your growth, both horizontally and vertically.

This is a remote position. Azure Specialist Overview We are seeking an Azure Specialist to design, implement, and support cloud-based solutions that power AI-driven applications, data platforms, and client-facing systems. This role will focus on building and optimizing solutions within Microsoft Azure, while supporting integrations with AWS, Tableau, Power BI, and DealCloud CRM. This is a hands-on role ideal for someone with strong Azure experience and a background in cloud infrastructure, data platforms, and modern application architectures. Key Responsibilities - Design, deploy, and manage Azure-based infrastructure and services - Build and support environments for AI/ML workloads, data pipelines, and analytics platforms - Implement scalable, secure, and highly available cloud solutions in Azure - Support integrations between Azure services and: - AWS environments (multi-cloud) - BI tools (Tableau, Power BI) - CRM platforms (DealCloud) - Develop and maintain infrastructure as code (IaC) using tools such as ARM templates, Bicep, or Terraform - Monitor and optimize systems for performance, cost, and reliability - Implement and manage security controls, including identity (Azure AD), access, and encryption - Support CI/CD pipelines and DevOps practices for deployment automation - Troubleshoot and resolve issues across Azure infrastructure and applications - Collaborate with engineering, data, and architecture teams to align with best practices and standards Requirements Required Qualifications - 4–7 years of experience working with Microsoft Azure - Strong hands-on experience with core Azure services such as: - Virtual Machines, Storage Accounts - Azure SQL, Cosmos DB - Azure Functions, App Services - Virtual Networks, Azure Active Directory - Experience supporting data platforms, ETL/ELT pipelines, or analytics workloads - Experience with infrastructure as code (ARM, Bicep, Terraform, or similar) - Familiarity with CI/CD tools and DevOps practices (e.g., Azure DevOps, GitHub Actions) - Strong understanding of cloud networking, security, and architecture principles - Experience troubleshooting and supporting production cloud environments Key Traits for Success - Strong technical troubleshooting and problem-solving skills - Ability to work independently and collaboratively - Proactive mindset focused on optimization and improvement - Adaptability in a fast-paced, AI-driven environment - Strong communication across technical teams

Work Setup: Remote   Schedule: Midshift Job Highlights: - Leadership Opportunities - This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision- making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership all while remaining hands-on in your areas of expertise. - Our technology focus is on Azure - you'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else. - Microsoft Partnerships - Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You wont find this at other places. - Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration. - Great working environment and company culture with flexible work location.  General Required Technical Skills: - Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings). - Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments - Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data - Experience with multiple full life-cycle data warehouse implementations - Understanding of data architectures required to support data integration processing - Experience with data modeling technologies such as ER/Studio, ER/Win or similar - Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs - Demonstrated ability to quickly learn, adopt and apply new technologies - Data profiling and creation of source to target mappings - Ability to provision and configure Azure data service resources Detailed Required Skills:  - Python & SQL Scripting - SQL, PySpark - General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines - API Knowledge is required, but preference given to candidates who can create APIs Preferred Experience/Skills/Certifications: - Microsoft Fabric - Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory - Experience creating strategies to migrate customers from on-premise environments to Azure - Power BI and semantic modeling - AWS Glue & Azure Data Factory - AWS S3 & Azure Blob - AWS Athena & Azure Databricks - AWS Redshift & Azure Synapse - AWS ECS & Azure AKS

• Design and structure the build of a data platform on AWS that meets the needs of internal stakeholders; • Identify the best solutions to optimize the architecture of our data platform; • Ensure data observability, quality, and reliability for our internal and external stakeholders; • Automate pipeline testing processes for onboarding new data sources, integrated with CI/CD; • Execute the data platform adoption plan together with the teams responsible for data governance; • Collaborate with data scientists and software engineers to enable an integrated data flow.