Data Engineer: Data Engineering (Ciudad de México)

Data Engineer: Data Engineering (Ciudad de México)

06 sep
|
En Route
|
Ciudad de México

06 sep

En Route

Ciudad de México

Description We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us. We are looking for a
Data Engineer
with strong
Tableau
experience to support the development, integration, transformation, and visualization of data across our analytics environment. This role will focus on building and maintaining reliable data pipelines, developing and optimizing data models, ensuring data quality,



and enabling business reporting and analytics through Tableau.
The idóneo candidate should have strong hands-on experience with
SQL , data engineering, data modeling,
ETL/ELT
processes, and
Snowflake
or similar cloud data platforms, combined with advanced expertise in Tableau. The candidate should be comfortable working across the data stack, from source systems and transformation pipelines through curated data models and final Tableau dashboards.
Requirements ·
Advanced experience with Tableau, including dashboard and workbook development, calculated fields, parameters, filters, actions, sets, and interactive visualizations. ·
Strong experience designing and maintaining Tableau data sources, including relationships, joins, extracts, and live connections. ·
Strong understanding of Tableau performance optimization, including dashboard performance, query optimization, extract optimization, and efficient data-source design. ·
E

📌 Data Engineer: Data Engineering (Ciudad de México)
🏢 En Route
📍 Ciudad de México

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