Data Engineer Semi Senior - Databricks

Job description

**🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀** Mutt Data 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 Semi Senior** 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. - 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](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our [blog post](https://blog.muttdata.ai/) 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. - Basic/Intermediate level of English. - Familiarity with a BI visualization tool like Looker or Tableau. ### 🎁 Perks - **🌍 Remote-first cultur**e – work from anywhere! - **🚀** In-Company **English Lessons.** - **💪 Wellhub or sports club** stipend to stay active - **🚀 AWS, DBT, Google Cloud, Azure & Databricks** certifications fully covered - 🍕 **Food credits via Pedidos Ya** – because great work deserves great food. - **🎂 Birthday off** + an extra vacation week (Mutt Week! 🏖️) - **🤝 Referral bonuses** – help us grow the team & get rewarded! - ✈️**🏝️ [Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s)** – an unforgettable getaway with the team! - **👶 Monthly Childcare Reimbursement** – Because supporting families matters too