Build and maintain interactive dashboards and reports in Power BI to support business decision-making. Develop and optimize data models and transformations using Databricks and SQL while collaborating with stakeholders.
🚀 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 Analytics Engineer to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
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🚀 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 🤓
Build and maintain interactive dashboards and reports in Power BI to support business and operational decision-making.
Develop and optimize data models, datasets, and semantic layers using Databricks and SQL.
Design, validate, and automate data transformations to ensure high-quality, reliable reporting.
Collaborate with Data Engineering and business stakeholders to define reporting requirements and KPIs.
Monitor data quality, troubleshoot reporting issues, and ensure consistency across dashboards and data sources.
Create and maintain documentation for dashboards, metrics, and reporting processes to support scalability and knowledge sharing.
Required Skills 💻
5+ years of experience building production data pipelines.
Strong experience with PySpark, Delta Lake, and Medallion architectures.
Hands-on experience with Microsoft Fabric (Lakehouses, Notebooks, Data Pipelines, OneLake).
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Marketing Manager
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