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DNACMT_INFYMEX_JD-Python Data Engineer - CON Mexico

Infosys

Monterrey

Presencial

MXN 600,000 - 850,000

Jornada completa

Hace 2 días
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Descripción de la vacante

A global leader in digital services is seeking a Data Engineer with strong experience in Python and SQL. This role involves developing data engineering programs, including building data pipelines and implementing dashboards. The ideal candidate has over 4 years in IT and excellent communication skills. The position is based in Monterrey, Jalisco, Mexico, and values teamwork and diversity. Remote and hybrid work options may be available as per location.

Formación

  • At least 4 years of experience in Information Technology.
  • At least 3 years of project experience in Python and SQL.

Responsabilidades

  • Develop a Data Engineering program including data pipelines.
  • Implement executive reporting using dashboards.

Conocimientos

Python
SQL
ETL concepts
Communication skills
Cloud Platforms (AWS or Azure)

Educación

Bachelor’s degree or foreign equivalent

Herramientas

Hadoop
Azure Databricks
Snowflake
Unix shell scripting
Descripción del empleo
Job Description

INFYMEX –– Python + SQL Data Engineer – Ingeniero de Datos de Python + SQL

Infosys is seeking Data Engineers with Python and SQL experience. In this role, you will work directly with the clients to develop a Data Engineering program which will include building data pipelines and data lake initiatives, executive reporting using dashboards, and process/workflow definition implementation. You will be part of an entrepreneurship and learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Locations for this position are Mexico (Mexico City, GDL and MTY).

Basic Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution.
  • At least 4 years of experience in Information Technology for JL4.
  • Very good communication skills + English Level.
Mandatory Skillsets
  • At least 3 years of project experience in Python and SQL.
  • Good understanding of ETL concepts.
Good to have
  • Experience with Cloud Platforms (AWS or Azure).
  • Experience in Big Data ecosystem using Hadoop/Python/Scala/Spark/PySpark packages and libraries for large scale data.
  • Experience in working with Azure Databricks or Snowflake.
  • Experience in data warehouse using any ETL tool.
  • Experience in Unix shell scripting.
Other Relevant Experience
  • Experience in software development life cycle.
  • Working in an agile environment, works on new systems development and enhancement/maintenance of existing systems.
  • Ability to work in team in diverse/ multiple stakeholder environment.
  • Preferred - Experience in Financial Services, Insurance Domain.
EEO/About Us

About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Work Location

Guadalajara, Mexico City, Monterrey

Country

Mexico

State / Region / Province

Jalisco, Mexico, Nuevo Léon

Company

Infosys Mexico

Interest Group

Infy Mexico

Domain

Business Intelligence

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