Data Engineer — Build Scalable Data Pipelines & Insights

Turtle Trax S.A.; México; Presencial; MXN 420.000 - 700.000; Jornada completa

Descripción de la vacante

Turtle Trax S.A. is seeking an experienced Data Engineer in Mexico to transform raw data into usable data systems and align data workflows with business goals. You will write complex SQL queries, design and maintain data ingestion and processing pipelines, and build scalable data warehouses.

Proficiency in English is required; experience with Talend, Informatica or Datastage is highly valued. The role offers collaborative cross-functional work and opportunities to implement analytics solutions

Formación

• 4+ years of experience developing data ingestion, processing, and analytical pipelines for big data, relational databases, data warehouses
• Ability to analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives and conduct complex data analysis
• Preparing data for prescriptive and predictive modeling
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Proficiency in English language

Responsabilidades

• Transform raw data into usable data systems
• Create algorithms and conduct statistical analysis to improve efficiency
• Align data systems with business goals
• Develop and maintain ETL pipelines and data warehouses
• Collaborate with cross-functional teams on data solutions

Conocimientos

SQL Proficiency

Data Pipelines

ETL Experience

English Proficiency

Data Analysis

Herramientas

Talend

Informatica

Datastage

Python

Descripción del empleo

Turtle Trax S.A. is seeking an experienced Data Engineer in Mexico to transform raw data into usable data systems and align data workflows with business goals. You will write complex SQL queries, design and maintain data ingestion and processing pipelines, and build scalable data warehouses.

Proficiency in English is required; experience with Talend, Informatica or Datastage is highly valued. The role offers collaborative cross-functional work and opportunities to implement analytics solutions