Mutt Data

Technology

DataEngineerSenior-MicrosoftFabric

$15000–22000k ~AI est. Argentina FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer Senior - Microsoft Fabric at Mutt Data. Skills: Data Engineering, Machine Learning, Data Pipelines, Databricks. Co-develop batch and streaming pipelines. Co-develop semantic models”

Industry & Context.

Technology

What They're Looking For.

Must Have

Experience in Data Engineering, Building and optimizing data pipelines, Experience with Databricks, Experience with Python, Experience with Spark, Building batch and streaming solutions, Experience with Microsoft Fabric, English Advanced Level

Nice to Have

Microsoft Fabric data integration, Microsoft Fabric analytics, Microsoft Fabric lakehouse solutions, Familiarity with BI visualization tools, Looker, Tableau, Power BI

What You'll Do.

Co-develop batch and streaming pipelines

Co-develop semantic models

Co-develop transformations on Databricks

Define data contracts

Maintain data contracts

Maintain quality rules

Guide domain teams on data modeling

Guide domain teams on data product boundaries

Train domain engineers

Mentor domain engineers

Pair with domain engineers on data product ownership

Pair with domain engineers on good engineering practices

Capture feedback from domains

Capture best practices from domains

Feed improvements into platform templates

Feed improvements into tooling

Feed improvements into patterns

How You'll Work.

Team & Collaboration

Domain teams; Domain engineers; Domain analysts

Full Job Description

## Description 🚀 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 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 🔍 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! 🚀 ## Responsibilities 🤓 Co-develops batch and streaming pipelines, semantic models, and transformationson Databricks (Python/Spark). Defines and maintains data contracts, quality rules, and data SLOs for each dataproduct. Guides domain teams on data modeling and data product boundaries (whatbelongs to which product/domain). Trains, mentors and pairs with domain engineers/analysts on data productownership and good engineering practices. Captures feedback and best practices from domains and feed

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