Data Analytics Engineer

Muttdata

2d•Remote

About The Position

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. We leverage our expertise to build modern Machine Learning systems for demand planning and budget forecasting. We develop scalable data infrastructures to enhance high-level decision-making, tailored to each client. We offer comprehensive Data Engineering and custom AI solutions, optimizing cloud-based systems. Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. We build deep learning models to enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval. We develop recommendation models to personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Requirements

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.

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.