13 days ago
Remote, AmericasMid Level
Responsibilities
- Integrate new data sources into the product.
- Design and maintain ETL/ELT processes.
- Build data models for analytical consumption.
- Validate data quality, consistency, and traceability.
- Optimize queries and data transformation processes.
- Document data models, sources, and data flows.
- Apply good practices in data quality, governance, and traceability.
Requirements
- Experience with data integration, data modeling, ETL/ELT processes, and data quality practices is desired by the responsibilities, but no specific years of experience or education are stated.
- Knowledge of Azure Data Factory, Azure Synapse, microservices, and Kubernetes/Docker is desirable.
Benefits
- Competitive salary based on experience and skills.
- Statutory benefits and additional benefits, including SGMM and grocery vouchers.
- Home office bonus.
- Five additional personal days beyond vacation.
- English classes.
- Birthday day off.
- Career and development plan.
- Home-office work arrangement with a Monday-to-Friday schedule from 9 a.m. to 6 p.m.
Tech Stack
Categories
Data Engineering
About Mobiik
Mobiik builds and operates enterprise AI systems and custom software for large organizations, offering managed AI operations, cloud engineering, and data science services. Its portfolio includes agentic contact centers, AI-driven recruiting, intelligent ecommerce, and “POD” delivery models for implementation and enablement across Azure, AWS, and Google Cloud. Founded in 2002 and headquartered in Álvaro Obregón, Mexico City, the privately held firm lists customers such as BBVA, Bimbo, Totalplay, Sigma, and Mexico’s CNBV.