Data Engineer

Trinity Structural Towers; Santiago de Querétaro; Presencial; MXN 900,000 - 1,200,000; Jornada completa

Descripción de la vacante

A leading engineering firm in Querétaro is seeking a Data Engineer to enhance their data integration capabilities. The role involves designing data models, developing data pipelines, and collaborating with data scientists. Applicants should have significant programming experience, expertise in cloud technologies, and must be fluent in both English and Spanish. This position offers an exciting opportunity to work with advanced data solutions in a dynamic environment.

Formación

• Minimum of 5 years of relevant experience.
• Strong experience with data pipelines and processing technologies.
• Familiarity with parallel processing and compute optimization.

Responsabilidades

• Design data models and storage solutions in the cloud.
• Build processes for data transformation and workload management.
• Work with data scientists to meet business analytics requirements.
• Develop streaming analytics with big data pipelines.

Conocimientos

Programming (Python, Java, Scala)

Data modeling

Cloud-based solutions (AWS, Azure, GCP)

API-based data management

English proficiency

Spanish proficiency

Educación

Bachelor's or Master's in relevant fields

Herramientas

Hadoop

Spark

Kafka

SQL databases

Databricks

Palantir Foundry

Descripción del empleo

Trinity Industries, Inc. is seeking a Data Engineer to join our Queretaro, Mexico Office!

The successful candidate will be part of our Dallas, TX Corporate Office Enterprise - Data Engineering team and will be responsible for data integration, data transformation, and developing data pipelines using parallel processing with cloud-based technologies.

What you’ll do

• Design data models and data storage solutions in the cloud (e.g., AWS, Azure, GCP with strong preference for Azure Cloud)


• Build processes supporting query optimization, data transformation, data structures, metadata, dependency, and workload management


• Work with data scientists to facilitate technical design of complex data sourcing, transformation, and aggregation logic, ensuring business analytics requirements are met


• Work with big data pipelines to develop streaming analytics


• Utilize business intelligence data visualization tools and techniques to translate business analytics into solutions


• Engage regularly with management to prioritize business and information needs

What you’ll need

• Bachelor's (preferably master’s in computer science, business analytics, mathematics, and/or quantitative fields) or equivalent with a minimum of 5 years of relevant experience


• Proficiency in programming languages relevant to data engineering, including Python, Java, or Scala


• Deep understanding of data modeling and data pipelines


• Experience with data storage and processing technologies (e.g., Hadoop, Spark, Kafka, SQL databases)


• Strong experience with cloud-based data solutions, especially AWS, Azure, and GCP


• Experience with API-based data acquisition and management


• Familiarity with parallel processing, multithreading, and compute optimization


• Must be fully fluent in both English and Spanish, conversationally and written


• Databricks or Palantir Foundry AI/BI application development is a plus


• Background in leveraging semi-structured and unstructured data for NLP pipelines and image classification pipelines