Data Engineer Semi Senior - Databricks

4 дн. назад

ArgentinaLATAMSeniorRemote

databricksbig datamachine learning

Join our startup as a Data Engineer Semi Senior to work on Big Data and Machine Learning systems.

🚀 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 Semi Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).
Defines and maintains data contracts, quality rules, and data SLOs for each data product.
Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).
Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices.
Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.

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.
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.
Experience working with Databricks, Python, and Spark, building batch and streaming.
Basic/Intermediate level of English.
Familiarity with a BI visualization tool like Looker or Tableau.