🚀 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 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 🤓
- Collaborate with the team to define goals and deliver custom data solutions.
- Innovate with new tools to improve infrastructure and processes.
- Design and implement ETL processes, optimize queries, and automate pipelines.
- Own projects end-to-end, working directly with clients.
- Mentor and support team members, helping them deepen their knowledge in Data Engineering and model design.
- Lead data pipeline development and guide technical decisions.
- Act as a liaison between the team and stakeholders, ensuring alignment.
- Foster team autonomy while ensuring smooth collaboration.
- Contribute to technical research and stay ahead of solutions for future projects.
- Focus on code quality—review, document, test, and integrate CI/CD.
- Participate in candidate interviews and evaluations to help Mutt grow.
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).
- Knowledge of Docker.
- Experience with orchestration tools like Airflow or Prefect.
- Familiarity with ETL processes and automation.
- English Advanced Level.