
Mutt Data · Posted today
Data Engineer Semi Senior - Databricks
Job relayed by Himalayas, its source: you apply there.
- Location
- 🇦🇷 Argentina
- Contract
- Full-time
- Role
- Data engineering
- Source
- Himalayas
Stack
- Databricks
- dbt
- Airflow
- Spark
- Looker
- Tableau
- LLM
- Python
- AWS
- GCP
- Azure
The posting
🚀 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 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.
• 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 – an unforgettable getaway with the team!
• 👶 Monthly Childcare Reimbursement – Because supporting families matters too
Originally posted on Himalayas