1mo ago

#6 - Data Engineer Semi Senior - Databricks

RemoteRemote - Latamsenior

Data EngineerMachine Learning EngineerData

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Quick Summary

Overview

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

Technical Tools

Data EngineerMachine Learning EngineerData

🚀 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 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! 🐶🚀

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

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

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.

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 Power BI