Data Engineer Senior

Mutt Data · Argentina · posted today ago

engineering python data machine-learning

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About this role

🚀 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 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

Responsibilities 🤓

Partner with cross-functional teams to define BI and analytics
requirements
Innovate with new tools to improve Muttdata'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 in Data Engineering, including building and optimizing data pipelines.
Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
Intermediate level of English.
Experience working with dbt for data transformation and cloud platforms such as AWS. Familiarity with modern data stack tools, including Snowflake, is a plus.
Basic knowledge of Docker.
Experience with orchestration tools like Airflow or Prefect.
Familiarity with a BI visualization tool like Looker or Tableau.