Description review
Data Engineer
Mutt Data · Argentina · back to the listing
HR standards
58/100
needs work
Title ↔ description
89/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
Startups
- Business Intelligence Engineer GoSats
- IPinfo.io | Data Engineer | REMOTE (Anywhere) | Full-time IPinfo.io
- Senior Data Engineer Camber
- Senior Data Engineer Instrumentl
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
What the listing never says
- 36 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
🚀 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 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 🤓
• 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.
Required Skills 💻
• Experience in Data Engineering, including building and optimizing data pipelines.
• Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
• Experience working with any cloud (AWS, GCP, Azure,DBS or DBT).
• Basic knowledge of Docker.
• Experience with orchestration tools like Airflow or Prefect.
• Familiarity with ETL processes and automation.
Nice to Have Skills 😉
• Experience with stream processing tools like Kafka Streams, Kinesis, or Spark
• Solid command of English for understanding and communicating technical concepts (Design Documents, etc.)
🎁 Perks
•
🌍 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!
Originally posted on Himalayas
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 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 🤓
• 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.
Required Skills 💻
• Experience in Data Engineering, including building and optimizing data pipelines.
• Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
• Experience working with any cloud (AWS, GCP, Azure,DBS or DBT).
• Basic knowledge of Docker.
• Experience with orchestration tools like Airflow or Prefect.
• Familiarity with ETL processes and automation.
Nice to Have Skills 😉
• Experience with stream processing tools like Kafka Streams, Kinesis, or Spark
• Solid command of English for understanding and communicating technical concepts (Design Documents, etc.)
🎁 Perks
•
🌍 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!
Originally posted on Himalayas