Job Description
🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we’re passionate about technology, collaboration, and continuous learning.
We are looking for a builder-minded Data Analytics Engineer to join our team 🐶🚀. This opportunity is to work with a major multinational beverage company based in Mexico City, where you will participate in high-impact data-related projects.
🚀 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 🤓
- Participate in the technical migration, replacing the sources that feed current Power BI dashboards with the new migrated Datalake views.
- Ensure data integrity and consistency, validating row counts and volumes between source systems and Power BI reports to prevent volumetric discrepancies.
- Validate and cross-check highly sensitive, business-critical metrics, such as data covering millions of users and figures tied to variable compensation.
- Design and optimize complex logic and DAX queries, avoiding simple schema copies and ensuring the robustness of business-critical platforms.
- Collaborate closely with technical support and dashboard design profiles to deliver robust, visually polished outputs.
Required 💻
- Experience developing and configuring in Unity Catalog and SQL Editor, with solid knowledge of Databricks.
- Advanced command of Power BI, including complex data modeling, advanced DAX, and business logic design.
- Strong SQL skills and advanced query logic, with the technical sensitivity needed to handle and validate complex sources.
- Demonstrated autonomy and proactivity to operate independently against complex data sources under defined deadlines.
Nice to Haves 💻
- Previous experience in business-critical (mission-critical) data migration projects.
- Experience validating large-scale volumetric data (row counts, null counts, distinct value counts) between source and destination systems.
- Experience working under tight, deadline-driven project timelines.
🎁 Perks
- Remote-first culture– work from anywhere! 🌍
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! 🏖️)
- Referral bonuses– help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- ✈️ 🏝️ Annual Mutters’ Trip – an unforgettable getaway with the team.
- 👶 Monthly Childcare Reimbursement – Because supporting families matters to.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
