Muttdata · Posted 43mo ago
Data Engineer Lead
- Location
- 🇦🇷 Argentina
- Role
- Data engineering
- Source
- Employer’s own job board (Lever)
Stack
- Databricks
- dbt
- Airflow
- Prefect
- Kafka
- Kinesis
- Spark
- Pandas
- NumPy
- LLM
- SQL
- Python
- AWS
- GCP
- Azure
- Kubernetes
- Docker
- CI/CD
The posting
🚀 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 Lead 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. 🌟 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 pos t to learn more about our culture and the exciting projects we’re working on! 🚀 Responsibilities 🤓 • Partner with cross-functional teams to define BI and analytics requirements
• Innovate with new tools to improve Mutt Data's infrastructure and processes.
• Design dimensional data models and build scalable data pipelines
• Develop data models to feed dashboards for teams across the org, as well as client-facing analytics
• 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 leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
• Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
• 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 or DBT).
• 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.
• Knowledge of Kubernetes.
• Solid command of English for understanding and communicating technical concepts (Design Documents, etc.). 🎁 Perks • Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow : Monthly credits to spend in our benefits marketplace.
• ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!