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AI Summary
Responsibilities include collaborating on custom data solutions, innovating infrastructure, and designing/implementing scalable ETL processes and data pipelines. The role requires owning projects end-to-end, developing team tools, and focusing on code quality through review, documentation, and CI/CD integration.
🚀 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 to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
\n- 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.
- Amazon Web Services
- Astronomer
- Databricks
- 📊 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! 🚀
- Collaborate with the team to define goals and deliver custom data solutions.
- Innovate with new tools to improve Mutt Data's infrastructure and processes.
- Design and implement ETL processes, optimize queries, and automate pipelines.
- Own projects end-to-end—build, maintain, and improve data systems while working with clients.
- 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.
- Experience in Data Engineering, including building and optimizing data pipelines.
- Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
- English Advanced Level.
- Experience working with any cloud (AWS, GCP, Azure).
- Basic knowledge of Docker.
- Experience with orchestration tools like Airflow or Prefect.
- Familiarity with ETL processes and automation.
- Experience with stream processing tools like Kafka Streams, Kinesis, or Spark
- Solid command of English for understanding and communicating technical concepts (Design Documents, etc.)
- 🌍 Remote-first culture – 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!
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