ironquill.tech/board

$ cat jobs/data-engineer-lead-mutt-data-61a139be4a09.json

Data Engineer Lead

mutt data·LATAM·Argentina·senior
awsmldata engineering
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🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀 Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We’re looking for a Data Engineer Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems. Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. 🌟 Our Partnerships Amazon Web Services Astronomer Databricks 🌟 Our values 📊 We are Data Nerds 🤗 We are Open Team Players 🚀 We Take Ownership 🌟 We Have a Positive Mindset 🔍 Curious about what we’re up to? Check out our case studies and dive into our blog pos t to learn more about our culture and the exciting projects we’re working on! 🚀 Responsibilities 🤓 Partner with cross-functional teams to define BI and analytics requirements Innovate with new tools to improve Mutt Data 's infrastructure and processes. Design dimensional data models and build scalable data pipelines Develop data models to feed dashboards for teams across the org, as well as client-facing analytics Develop tools for the team and assist in tech migrations and model design. Build scalable, high-performance data architectures. Focus on code quality—review, document, test, and integrate CI/CD. Required Skills 💻 Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth. Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams. Experience in Data Engineering, including building and

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