Mutt Data
Technology
DataEngineerSenior-MicrosoftFabric
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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