ETL Data Engineer & Validation Specialist

Infosys Limited; Región Centro; Presencial; MXN 480.000 - 720.000; Jornada completa

Descripción de la vacante

Infosys is seeking a Data Engineer - ETL to join our Delivery team in Mexico. The role focuses on ETL development, data validation, and SQL querying to support business insights.

The candidate will work with AWS Athena, Tableau, and automated data processes to ensure reliable data delivery. Key responsibilities include designing SQL code, building Tableau workbooks, monitoring performance, and performing ad hoc analyses to answer critical business questions.

Formación

• Strong ETL development and testing background (1–2 years).
• Experience with Tableau (1–2 years).
• Experience with SQL for data analysis, validation/testing and data investigation (1–2 years).
• AWS cloud experience (CloudWatch, Lambda, EMR, Athena).
• Outstanding ability to communicate clearly and concisely.
• Thorough, takes detailed notes and captures correct information.
• Excellent analytical skills and curiosity about data.
• Ability to think creatively to identify solutions.

Responsabilidades

• Designing and developing SQL code (AWS Athena).
• Developing and editing Tableau workbooks.
• Designing and developing automated solutions.
• Performance monitoring and tuning of existing automated jobs.
• Ad hoc analyses and data investigations.
• Querying data to answer business questions and support investigations.
• Engage with subject matter experts to develop metrics and KPIs.

Conocimientos

ETL development

Data testing

SQL querying

AWS cloud

Analytical skills

Communication skills

Self-management

Learning mindset

Herramientas

Tableau

AWS

Descripción del empleo

Infosys is seeking a Data Engineer - ETL to join our Delivery team in Mexico. The role focuses on ETL development, data validation, and SQL querying to support business insights.

The candidate will work with AWS Athena, Tableau, and automated data processes to ensure reliable data delivery. Key responsibilities include designing SQL code, building Tableau workbooks, monitoring performance, and performing ad hoc analyses to answer critical business questions.