Data Engineer Lead - DBT

4 мес. назад

ArgentinaLATAMLeadRemote

dbtbig datamachine learning

Lead data engineer role focused on advancing expertise in big data and machine learning at a dynamic startup.

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀   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! 🐶🚀

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.
Lead complex projects end-to-end with drama free-launches.
Support internal and external reporting metrics creation.
Mentor junior members of the team.

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.
Amazon Web Services
Astronomer
Databricks
📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
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 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.
Mentor junior members of the team.