#8 Data Engineer Senior - Databricks - Latam

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. This opportunity is with a leading multinational beverage company based in Mexico City. We are looking for an Data Engineer Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico 🐶🚀.

🚀 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. • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval. • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 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 post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓 • Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).

• Defines and maintains data contracts, quality rules, and data SLOs for each data product. • Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain). • Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices. • Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.

Required Skills 💻 • Experience in Data Engineering, including building and optimizing data pipelines.

• Experience working with Databricks, Python, and Spark, building batch and streaming. • Familiarity with a BI visualization tool like Looker or Tableau.