.MMC is seeking candidates for the following position based in the Mexico City office and be onsite 3 days a week: Cloud Data Engineer Lead / Data Engineering LeadWhat can you expect?The Cloud Data Engineer Lead will lead a small team, and be part of a very talented large team building data ingestion and transformation pipelines in the cloud, resolving data processing and analytics issues, and developing tools and technologies to enhance the new data platform.What is in it for you?A company with a strong Brand and strong results to matchCulture of internal mobility, collaboration and valued partnership from the business.Employee Resource Groups which provide access to leaders, relevant volunteer and mentoring opportunities and interactions with counterparts in industry groups and client organizations.Entitled to vacation, floating holidays, time off to give back to your community, sick days, and national holidays (with early dismissal).Enjoy unlimited access to a vast range of courses and professional training through Udemy to continually enhance your skills and knowledgeWe will count on you to:Conceptualize and implement a comprehensive, thoughtful, and best-in-class data ingestion and processing capabilities that will support and enhance our New Data Platform.Provide technical leadership, leading the team to build reusable and scalable data pipelines and new API integrations to support continuing increases in data volume and complexity.Work in tandem with source system and application teams to integrate and establish data pipelines using Databricks, S3 and other AWS services.Understand data landscape i.E., tooling, tech stack, source systems etc. and work closely with extended platform teams to improve data collection, quality, reporting and analytics capabilities.Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision-making across the organization.Participate in all aspects of the software development lifecycle for AWS solutions, including planning, requirements, development, testing, and quality assurance.Troubleshoot incidents, identify root causes, fix, and document problems, and implement preventive measures.Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity.Actively contribute toward our culture of continuous learning by proactively identifying and evangelizing best practices globally.What you need to have:Excellent written and verbal communication skills in English.Bachelor's degree (or equivalent) in computer science, information technology, or mathematics.3+ years of relevant Data Ingestion/ETL/ELT, Big Data and Data Visualizations experience in mission-critical platforms.Strong Python or Java development and SQL experience.Experience with schema design and dimensional data modelling
